68 Data Engineering jobs in Riyadh

Overview

Data Engineering Specialist role at Takamol Holding.

Design, build, and manage scalable data pipelines to collect, transform, and store data from various internal and external sources.

Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements. Ensure data integrity, accuracy, and availability across all systems and platforms. Optimize data infrastructure for performance, reliability, and cost-efficiency. Develop and maintain processes using modern data tools and platforms. Implement data governance, security, and privacy best practices in compliance with regulatory requirements. Monitor, troubleshoot, and improve data workflows and performance issues. Document data architecture, data flows, and technical processes. Support the development of data models and analytical datasets for reporting and AI/ML use cases.

Job Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
• 2–5 years of experience in data engineering, data warehousing, or similar roles.
• Strong problem-solving and communication skills.
• Analytical Thinking
• Leadership
• Teamwork and Time Management

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Business Consulting and Services

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Arthur Lawrence is urgently looking for a Manager - Data Engineering for a client in Riyadh, KSA. Kindly review the job requirements below. Your immediate application will enable us to place you successfully.

Must-Have:

• Minimum 10 years of proven experience in data management within the banking sector
• Skilled in big data technologies like Hadoop, Spark, Kafka, Impala, Nifi, and Hive
• Proficiency in implementing data governance policies, developing data processing and storage solutions
• Must be fluent in Arabic and English

Nice-to-Have:

• Bachelor’s degree in computer science, IT, or equivalent

About Us:
Arthur Lawrence is a management and technology consulting firm providing enterprise-wide business transformation and business applications implementation services. Our in-depth technical knowledge and broad experience of working with world-class companies enable organizations to leverage our capabilities in developing winning strategies and cost-effective solutions.
We are an UN Women Empowerment Principal Signatory and are certified by the National Minority Supplier Development Council. Acknowledgements from Industry Peers:

• Winner of Entrepreneur 360 Award (2019)
• IAOP Award; Ranked in the top 100 internationally
• Arthur Lawrence ranked within the Inc 5000 twice in 2016 and 2017 as one of the fastest-growing companies in America
• Named one of the top ten fastest-growing businesses in Houston in 2016
• Ranked 25th in the HBJ's Fast 100 Private Companies Award in 2017

Our Seven Pillars:
We rely on the seven core values that we believe enable us to deliver quality for our consultants and clients: Education, Integrity, Value Creation, Collaboration, Best Client, Best People, and Stewardship.
Through strict adherence to these core values, we have achieved success beyond all documented forecasts and expectations. #J-18808-Ljbffr

"Are you a skilled Data Architect looking for a new opportunity? Our business solutions company in (Location) is seeking a talented individual to join our team as a Data Architecture Specialist.

Key Responsibilities:

- Designing and implementing data solutions to support business needs
- Developing data models and ensuring data quality and integrity
- Collaborating with cross-functional teams to identify data requirements and develop strategies for effective data management

**Requirements**:

- Bachelor's degree in Computer Science, Information Technology, or a related field
- Proven experience in data architecture and database design
- Proficiency in data modeling and database management systems
- Strong problem-solving and analytical skills

If you are passionate about leveraging data to drive business success, we encourage you to apply. Join us in creating innovative data solutions that make a real impact."

نوع الوظيفة: دوام كامل, دوام جزئي, عقد

الراتب: ﷼١٠٫٠٠ لكل شهر

Subject Matter Expert (SME) - Data Engineering and Analytics

Anchored in the bustling heart of Riyadh, Saudi Arabia, SMSIT leads the charge in digital innovation, partnering with clients across industries to transcend borders with our dynamic presence. As a leading provider of cutting-edge solutions, we specialize in Cloud Services, Data Solutions, Cyber Security, Modern Workplace and Digital transformation.

Our dedicated team of professionals is passionate about delivering transformative results for our clients, helping them thrive in today’s digital world. With a focus on collaboration, integrity, and continuous improvement, we empower our employees to unleash their full potential and make a meaningful impact.

If you are looking to join a dynamic team and be part of shaping the future of technology, we invite you to explore our current career opportunities and join us on our journey of innovation and growth.

Position Overview

We are looking for an experienced Cloud Security Engineer to lead our efforts in designing, implementing, and maintaining robust security measures for our cloud-based solutions.

The ideal candidate will have a deep understanding of cloud security best practices, compliance requirements, and threat landscape. As a key member of our team, you will play a crucial role in safeguarding our clients’ data, infrastructure, and applications in the cloud.

Responsibilities

• Design, implement, and maintain security controls and configurations for cloud environments, including AWS, Azure, or Google Cloud Platform.
• Conduct security assessments, vulnerability scans, and penetration tests to identify and mitigate security risks in cloud infrastructure and applications.
• Develop and implement security policies, standards, and procedures to ensure compliance with industry regulations and best practices.
• Monitor cloud environments for security incidents and respond to security alerts in a timely manner.
• Implement and manage identity and access management (IAM) policies, roles, and permissions in cloud environments.
• Collaborate with development and operations teams to integrate security into the software development lifecycle (SDLC) and DevOps processes.
• Evaluate and recommend security tools and technologies to enhance the security posture of cloud environments.
• Provide security guidance and training to internal teams and clients on cloud security best practices and procedures.

Requirements

• Bachelor’s degree in computer science, Information Security, or related field. Master’s degree preferred.
• Proven experience as a Cloud Security Engineer, Cloud Security Architect, or similar role, with at least 10 years of experience in cloud security.
• In-depth knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
• Familiarity with cloud security frameworks and standards such as CIS, NIST, SOC 2, and GDPR.
• Experience with security assessment tools and techniques, including vulnerability scanners, penetration testing tools, and security information and event management (SIEM) systems.
• Strong understanding of network security, encryption, identity and access management (IAM), and data protection mechanisms in cloud environments.
• Certifications such as Certified Cloud Security Professional (CCSP), AWS Certified Security – Specialty, or Azure Security Engineer Associate are a plus.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

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Subject Matter Expert (SME) - Data Engineering and Analytics

Anchored in the bustling heart of Riyadh, Saudi Arabia, SMSIT leads the charge in digital innovation, partnering with clients across industries to transcend borders with our dynamic presence. As a leading provider of cutting-edge solutions, we specialize in Cloud Services, Data Solutions, Cyber Security, Modern Workplace and Digital transformation.

Our dedicated team of professionals is passionate about delivering transformative results for our clients, helping them thrive in today’s digital world. With a focus on collaboration, integrity, and continuous improvement, we empower our employees to unleash their full potential and make a meaningful impact.

If you are looking to join a dynamic team and be part of shaping the future of technology, we invite you to explore our current career opportunities and join us on our journey of innovation and growth.

Position Overview

We are looking for an experienced Cloud Security Engineer to lead our efforts in designing, implementing, and maintaining robust security measures for our cloud-based solutions.

The ideal candidate will have a deep understanding of cloud security best practices, compliance requirements, and threat landscape. As a key member of our team, you will play a crucial role in safeguarding our clients’ data, infrastructure, and applications in the cloud.

Responsibilities

• Design, implement, and maintain security controls and configurations for cloud environments, including AWS, Azure, or Google Cloud Platform.
• Conduct security assessments, vulnerability scans, and penetration tests to identify and mitigate security risks in cloud infrastructure and applications.
• Develop and implement security policies, standards, and procedures to ensure compliance with industry regulations and best practices.
• Monitor cloud environments for security incidents and respond to security alerts in a timely manner.
• Implement and manage identity and access management (IAM) policies, roles, and permissions in cloud environments.
• Collaborate with development and operations teams to integrate security into the software development lifecycle (SDLC) and DevOps processes.
• Evaluate and recommend security tools and technologies to enhance the security posture of cloud environments.
• Provide security guidance and training to internal teams and clients on cloud security best practices and procedures.

Requirements

• Bachelor’s degree in computer science, Information Security, or related field. Master’s degree preferred.
• Proven experience as a Cloud Security Engineer, Cloud Security Architect, or similar role, with at least 10 years of experience in cloud security.
• In-depth knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
• Familiarity with cloud security frameworks and standards such as CIS, NIST, SOC 2, and GDPR.
• Experience with security assessment tools and techniques, including vulnerability scanners, penetration testing tools, and security information and event management (SIEM) systems.
• Strong understanding of network security, encryption, identity and access management (IAM), and data protection mechanisms in cloud environments.
• Certifications such as Certified Cloud Security Professional (CCSP), AWS Certified Security – Specialty, or Azure Security Engineer Associate are a plus.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

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Overview

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. We’re the people who keep the cloud running, supporting all AWS data centers and the servers, storage, networking, power, and cooling equipment that ensure customers have continual access to the innovation they rely on. We work on challenging problems with thousands of variables impacting the supply chain, and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. You’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

Amazon Web Services (AWS) is looking for a Data Center Engineering Operations Engineer to join our expanding Data Centers (DC) Cloud regions. The Data Center Engineering Operations Engineer is a hands-on electrical and mechanical equipment troubleshooting and operation responder. As an Engineering Operations Engineer, you will operate and maintain AWS DCs’ world-class mechanical and electrical infrastructure following a process-oriented approach. In addition, you will oversee facility operations and ensure the implementation of safety procedures. If you like to apply your electrical and mechanical skills to solve problems while striving for operational excellence, we would like to meet you. Your work will help maintain availability for customers and ensure the upkeep and operation of the technical infrastructure in the DC.

Key responsibilities

• SAFETY : Follow and maintain the highest safety standards and diligently encourage a world-class safety culture. As a facility owner team, ensure remediation of safety risks/issues in conjunction with other teams. Own the safety initiatives and projects to foster strong safety culture.
• ENGINEERING & FACILITY OPERATIONS AND MAINTENANCE : You will be supporting electrical and mechanical equipment, including Uninterruptable Power Supplies (UPS’s), Switchgear, Circuit Breakers, Automatic Transfer Switches (ATS's), Diesel Generators, Chillers, Heating Ventilation Air Conditioning (HVAC), Exhaust Fans, Variable Frequency Drives (VFD's), and Transformers.
• Operate and maintain mechanical and electrical, emergency generator, HVAC and fire/life safety equipment within the data center.
• Troubleshoot facility and rack-level events within internal SLAs.
• Perform root cause analysis of equipment failures.
• Drive innovation while reducing operational costs in the facilities.

A day in the life

• Work rotational shifts of 4 days of 12 hours shifts (2 days followed by 2 nights), and 4 days off (including night, weekends and holidays) / Respond to on-call rotation reaction to off-duty emergency calls.
• Take daily operational readings of all mechanical and electrical equipment through routine rounds/log-taking (temperatures, voltages, currents, etc.).
• Supervise contractors who perform servicing or preventive maintenance.
• Perform the following tasks, with or without reasonable accommodation:
• Occasionally move objects/material (weight limits in accordance with regulations).
• Work in outdoor weather conditions.
• Work in noisy environments.
• Work at heights and from ladders.

About the team

Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Qualifications

• Bachelor e2 b4s degree in engineering, project management, construction management or similar technical focus
• Knowledge of mechanical systems (Mechanical, HVAC systems, Controls)
• Knowledge of key electrical competencies and theory
• Experience in data center engineering
• Experience leading and managing operations of critical facilities which require in-depth knowledge in electrical, mechanical, and control systems
• Knowledge of BMS and EPMS control systems and data collection/trending

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Amazon Web Services (AWS) is looking for a Data Center Engineering Operations Engineer to join our expanding Data Centers (DC) Cloud regions. Data Center Engineering Operations Engineer is a hands-on electrical and mechanical equipment troubleshooting and operation responder.
As an Engineering Operations Engineer, you will operate and maintain AWS DCs' world-class mechanical and electrical infrastructure following a process-oriented approach. In addition, you will oversee facility operations and ensure the implementation of safety procedures.
If you like to apply your electrical and mechanical skills to solve problems while striving for operational excellence, we would like to meet you. Your work will help maintain availability for customers and ensure the upkeep and operation of the technical infrastructure in the DC.
Key job responsibilities
SAFETY:
- Follow and maintain the highest safety standards and diligently encourage a world-class safety culture. As a facility owner team, ensure remediation of safety risks/issues in conjunction with other teams. Own the safety initiatives and projects to foster strong safety culture.
ENGINEERING & FACILITY OPERATIONS AND MAINTENANCE:
- You will be supporting electrical and mechanical equipment, including Uninterruptable Power Supplies (UPS's), Switchgear, Circuit Breakers, Automatic Transfer Switches (ATS's), Diesel Generators, Chillers, Heating Ventilation Air Conditioning (HVAC), Exhaust Fans, Variable Frequency Drives (VFD's), and Transformers.
- Operate and maintain mechanical and electrical, mechanical, emergency generator, HVAC and fire/life safety equipment within the data center
- Troubleshoot facility and rack-level events within internal SLAs
- Perform root cause analysis of equipment failures
- Drive innovation while reducing operational costs in the facilities
A day in the life
- Work rotational shifts of 4 days of 12 hours shifts (2 days followed by 2 nights), and 4 days off (including night, weekends and holidays) / Respond to on-call rotation reaction to off-duty emergency calls
- Take daily operational readings of all mechanical and electrical equipment through routine rounds/log-taking (temperatures, voltages, currents, etc.)
- Supervise contractors who perform servicing or preventive maintenance
- Perform the following tasks, with or without reasonable accommodation:
- Occasionally Move objects/material (weight limits in accordance with regulations)
- Work in outdoor weather conditions.
- Work in noisy environments
- Work at heights and from ladders
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Bachelor's degree in engineering, project management, construction management or similar technical focus
- Knowledge of mechanical systems (Mechanical, HVAC systems, Controls)
- Knowledge of key electrical competencies and theory
Preferred Qualifications
- Experience in data center engineering
- Experience leading and managing operations of critical facilities which require in-depth knowledge in electrical, mechanical, and control systems
- Knowledge of BMS and EPMS control systems and data collection/trending
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Data Engineer – FinTech AI / Stock Market Data Pipelines

Title: Data Engineer – FinTech AI / Stock Market Data Pipelines

Tech Stack: Apache Kafka, PySpark, TimescaleDB, PostgreSQL/MySQL, Snowflake/BigQuery/Redshift, AWS S3 / Data Lakes, Airflow / Prefect / Dagster

Responsibilities

• Develop and maintain high-throughput real-time and batch pipelines for equities and financial market data .
• Implement time-series databases and ensure performance at scale.
• Manage data lakes, warehouses, and relational databases for analytics and reporting.
• Collaborate with the AI/ML team to structure datasets for training and deploying trading models.
• Ensure strong data governance, lineage, and reliability.
• Optimize cloud infrastructure for low-latency trading and market analytics.

What Is In It For You

• Competitive tax-free salary in Saudi Arabia (30k SAR)
• Opportunity to work on cutting-edge fintech + AI projects
• Be part of a CMA-licensed, regulated startup with strong growth prospects
• Career progression in a high-visibility data engineering role
• Work with a global, diverse, and ambitious team shaping the future of investing in the region

Requirements

• 5+ years as a Data Engineer within fintech, trading, or financial services
• Must have experience with stock market equities, tick data, OHLC, fundamentals, APIs, and sentiment analysis
• PySpark (distributed data processing)
• TimescaleDB or other time-series DBs
• Relational Databases (PostgreSQL, MySQL)
• Data Warehouses (Snowflake, BigQuery, Redshift)
• Data Lakes (e.g., AWS S3 + Lake Formation)
• Orchestration tools: Apache Airflow, Prefect, or Dagster
• Solid experience designing scalable ETL/ELT pipelines for structured and unstructured data
• Strong communication skills and ability to thrive in a fast-paced, startup-style environment

Nice to Have

• Experience with Bloomberg, Refinitiv, or other financial market data providers
• Knowledge of machine learning data preparation and feature engineering
• Familiarity with financial compliance, data security, and regional regulations

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Devoteam is a leading consulting firm focused on digital strategy, tech platforms, and cybersecurity.

By combining creativity, tech, and data insights, we empower our customers to transform their business and unlock the future.

With 25 years’ of experience and 8,000 employees across Europe and the Middle East, Devoteam promotes responsible tech for people and works to create better change.

#Creative Tech for Better Change

Devoteam has launched in January 2021 its new strategic plan, Infinite 2024, with the ambition to become the #1 EMEA partner of the leading Cloud-based platform companies (AWS, Google Cloud, Microsoft, Salesforce, ServiceNow), further reinforced by deep expertise in digital strategy, cybersecurity, and data.

Job Description

The Data Engineer will be responsible for the following activities:

• Work closely with data architects and other stakeholders to design scalable and robust data architectures that meet the organization’s requirements
• Develop and maintain data pipelines, which involve the extraction of data from various sources, data transformation to ensure quality and consistency, and loading the processed data into data warehouses or other storage systems
• Responsible for managing data warehouses and data lakes, ensuring their performance, scalability, and security
• Integrate data from different sources, such as databases, APIs, and external systems, to create unified and comprehensive datasets.
• Perform data transformations and implement Extract, Transform, Load (ETL) processes to convert raw data into formats suitable for analysis and reporting
• Collaborate with data scientists, analysts, and other stakeholders to establish data quality standards and implement data governance practices
• Optimise data processing and storage systems for performance and scalability
• Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions

Qualifications

• Programming Skills: Proficiency in programming languages such as Python, Java, Scala, or SQL is essential for data engineering roles. Data engineers should have experience in writing efficient and optimized code for data processing, transformation, and integration.
• Database Knowledge: Strong knowledge of relational databases (e.g., SQL) and experience with database management systems (DBMS) is crucial. Familiarity with data modeling, schema design, and query optimization is important for building efficient data storage and retrieval systems.
• Big Data Technologies: Understanding and experience with big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka is highly beneficial. Knowledge of distributed computing and parallel processing frameworks is valuable for handling large-scale data processing.
• ETL and Data Integration: Proficiency in Extract, Transform, Load (ETL) processes and experience with data integration tools like Apache NiFi, Talend, or Informatica is desirable. Knowledge of data transformation techniques and data quality principles is important for ensuring accurate and reliable data.
• Data Warehousing: Familiarity with data warehousing concepts and experience with popular data warehousing platforms like Amazon Redshift, Google BigQuery, or Snowflake is advantageous. Understanding dimensional modeling and experience in designing and optimizing data warehouses is beneficial.
• Cloud Platforms: Knowledge of cloud computing platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) is increasingly important. Experience in deploying data engineering solutions in the cloud and utilizing cloud-based data services is valuable.
• Data Pipelines and Workflow Tools: Experience with data pipeline and workflow management tools such as Apache Airflow, Luigi, or Apache Oozie is beneficial. Understanding how to design, schedule, and monitor data workflows is essential for efficient data processing.
• Problem-Solving and Analytical Skills: Data engineers should have strong problem-solving abilities and analytical thinking to identify data-related issues, troubleshoot problems, and optimize data processing workflows.
• Communication and Collaboration: Effective communication and collaboration skills are crucial for working with cross-functional teams, including data scientists, analysts, and business stakeholders. Data engineers should be able to translate technical concepts into clear and understandable terms.

Additional Information

Education and Experience

• Minimum Two years of related experience is highly preferred.
• Two certifications in GCP (within 3 months after joining).

Status: Full-Time

Duration: –

The Devoteam Group is committed to equal opportunities, promoting its employees on the basis of merit and actively fighting against all forms of discrimination. We believe that diversity contributes to the creativity, dynamism, and excellence of our organization. All our positions are open to people with disabilities.

Amsterdam . Netherlands | #Management Consultant

What you’ll be doing

If you like these keywords you’ll love this role:

#jira #workflows #projectmanagement #documentation #software

Do you have experience with Atlassian products such as Jira, Confluence or Bitbucket? We’re looking for an Atlassian Consultant who loves to configure and optimize Atlassian tools for our clients. The end goal: ensure seamless collaboration experiences within and between the teams of our clients’ organizations. You’ll be part of our multidisciplinary Innovative Tech team, where DevOps, Agile, Cloud & Software Engineering experts all work together to create remarkable solutions based on cutting-edge technology.

In this role you work with your team on projects such as optimizing the Jira/Confluence environments of our clients so that the experience of end-users improves, supporting Atlassian cloud migrations, configuring new Bitbucket environments, and so on. Together, we empower leading enterprises & governments to bring positive change to the world with cutting-edge technology & digital strategies.

Skhirat . Morocco | #Other Support Functions Porto . Portugal | #Cloud & Devops Engineer

We are looking for a DevOps Engineer to join Devoteam Distributed Cloud unit to work within a Banking Sector project for a client of ours.

Devoteam Distributed Cloud unit is our multi cloud strategy and identity within the group Devoteam. We focus on developing solutions end to end within GCP, AWS or Azure and its technologies.

We will rely on you to

- Suggest improvements and optimizations that can be implemented in customer

- Resolve incident tickets and requests that customers make;

- Teamwork along with the company's internal teams as well as customer resources;

- Training, workshops and technical explanations for the customer and internal teams;

- Use of project development tools (DevOps, Jira, etc.);

- Follow-up and coordination of changes and technical operations (electrical shutdown, servers move, etc.);

- Drafting / major of instructions;

- Document the components and operation of applications: software architecture, technical architecture, procedures, supervision needs, etc;

- Production of new versions of applications;

- Management of treatment scheduling;

Carry out the commissioning of the new versions of applications in collaboration with the teams in charge of the development and maintenance of these applications and on the other hand with the technical teams: Systems engineers, Databases, Work and network possibly.

• Translate business needs to technical specifications
• Design, build, and maintain charts, dashboards, and KPIs
• Design & build BI test cases
• Facilitate the UAT workshops with the with business
• Play key roles in building RSD (Report Specs Document) and KPI cards
• Participate heavily in designing & building BI user guides and awareness sessions
• Conduct unit testing and troubleshooting
• Story-telling using data visualization
• Communicate with data warehousing and BI storage tools (e.g. OLAP cubes) to get the data for the visualizations
• Evaluate and improve existing BI systems
• Develop and execute SQL database queries and conduct analyses
• Work with different data format; structured, semi-structured, and geospatial
• Data cleansing and normalization when needed
• Perform descriptive, diagnostic, and predictive analysis on the data

Levallois-Perret . France | #Offensive CyberSecurity Engineer Levallois-Perret . France | #Strategy Consultant Frankfurt am Main . Germany | #Data Scientist

Within our N Platform department, you will have a focus on a portfolio of ServiceNow projects. As Project Manager, you will be responsible for managing our ServiceNow implementation projects on behalf of our clients. You may also be involved in pre-sales activities: understanding client needs and estimating timeframes/ effort/ cost associated.

Tasks & Responsibilities

• Manage project initiation activities, which include the identification of contractual obligations, client needs and goals, existing situations, and necessary contacts. Gain access to existing information as needed;
• Plan and coordinate all aspects of project management from initiation through delivery
• Perform analysis of utilization of resources for projects in execution and measuring for future resource allocation needs;
• Financial reporting of the project revenue and forecast;
• Develop, define, and execute project plans, project scope, activities, schedules, budgets and deliverables;
• Identify needed resources for projects while defining and assigning major project roles;
• Ensures project completion is on schedule, within budget constraints, and of the appropriate quality standards for the project scope;
• Manage project risks, issues/problems, and activity progress to ensure project goals (e.g., deadline, scope and quality) are achieved;
• Identify project management coordination process gaps or areas for improvement. Recommends and implements solutions
• Oversee the delivery of ServiceNow services to ensure they meet agreed service levels and quality standards.

Lisboa . Portugal | #Risk & Compliance Engineer

• Provide support to stakeholders filling the risk cards;
• Review and challenge content of the risk cards to ensure they meet expected quality;
• Design and continuous improvement of the action plan follow-up;
• Ensure actions plans are formalized with all needed information;
• Follow-up and reporting (figures, alerts,…) of risks register entries and action plans in order to provide an accurate and up-to-date risk view and Assist in reporting and preparation of regular Function/Metier/Region IT risk and control committees.

As a Senior Data ScientistMachine Learning Engineer at Devoteam, you will be responsible for developing, implementing, and optimizing advanced data-driven algorithms, including classification, regression, recommender systems, and user segmentation models. You will collaborate with cross-functional teams to identify opportunities for improvement and deliver impactful insights that drive business success

Key responsibilities :

• Identifying relevant data sources for business needs.
• Processing, cleansing, and Organising data into usable formats.
• Conduct in-depth research and analysis on large datasets to uncover hidden patterns, correlations, and trends
• Apply data mining techniques such as association rule discovery, classification, and clustering
• Conduct thorough EDA to understand underlying patterns, correlations, and anomalies in complex datasets
• Transform and preprocess raw data to create meaningful features that can improve model performance.
• Develop, evaluate, and deploy predictive machine learning models to drive actionable insights.
• Communicate complex data findings in a clear and concise manner to non-technical stakeholders
• Stay up-to-date with the latest advancements in data science, machine learning, and industry best practices, continuously seeking opportunities to improve methodologies and processes.

Advanced Technical Skills: Mastery of programming languages like Python or R, expertise in data manipulation, machine learning algorithms, and statistical analysis.

Data Manipulation:** Proficiency in working with large datasets, data cleaning, preprocessing, and transforming data into usable formats.

Machine Learning Expertise:** Experience in selecting and implementing appropriate machine learning algorithms, model evaluation, hyperparameter tuning, and dealing with bias and fairness issues.

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