Data Engineer
Posted today
Job Viewed
Job Description
Do you want to love what you do at work? Do you want to make a difference, an impact, and transform people's lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?
If yes, then this is the job for you. webook.com is Saudi’s #1 event ticketing and experience booking platform in terms of technology, features, agility, and revenue, serving some of the largest mega events in the Kingdom with over 2 billion in sales. webook.com is part of the Supertech Group, which also includes UXBERT Labs, one of the best digital and user experience design agencies in the GCC, along with Kafu Games, the largest esports tournament platform in MENA.
Key Responsibilities:- Data Integration and ETL Development: Architect and implement robust data integration pipelines to extract, transform, and load data from various sources (e.g., databases, SaaS applications, APIs, flat files) into a centralized data platform. Design and develop complex ETL processes to ensure data quality, consistency, and reliability. Optimize workflows for performance and scalability.
- Data Infrastructure and Platform Management: Implement and maintain data ingestion, processing, and storage solutions to support data and analytics needs. Ensure data infrastructure's reliability, security, and availability through monitoring, troubleshooting, and disaster recovery planning.
- Data Governance and Metadata Management: Collaborate with the data governance team to establish policies, standards, and procedures. Develop and maintain metadata management systems for data lineage, provenance, and traceability. Implement data quality control and validation processes to maintain data integrity.
- 5-6 years of experience as a Data Engineer or in a related role within a data-driven organization.
- Proficiency in designing and implementing data pipelines using tools like Apache Airflow, Airbyte, or cloud-based services.
- Experience managing data infrastructure such as data lakes, data warehouses, and real-time streaming platforms (e.g., Elastic, Google BigQuery, Mongodb).
- Expertise in data modeling, data quality, and metadata management.
- Proficiency in programming languages like Python or Java, and SQL.
- Familiarity with cloud platforms (AWS, Google Cloud) and DevOps practices.
- Strong problem-solving skills and ability to collaborate across teams.
- Excellent communication and presentation skills to translate technical concepts to business stakeholders.
- Knowledge of data visualization and BI tools (e.g., Tableau, Qlik).
- Understanding of machine learning and AI applications in data initiatives.
- Project management experience and leadership in data projects.
If you are a seasoned Data Engineer passionate about building scalable and robust data solutions, we encourage you to apply for this exciting opportunity.
#J-18808-LjbffrData Engineer
Posted today
Job Viewed
Job Description
The Data Engineer will play a crucial role in building and maintaining the data infrastructure at Lucidya. This role involves designing, developing, and managing scalable and robust data pipelines that support the analytics and machine learning teams. The Data Engineer will ensure that data is accessible, reliable, and organized to meet the growing analytical needs of the company.
The ideal candidate will have a strong background in data modeling, ETL processes, and database technologies. In addition to technical skills, the Data Engineer should possess excellent problem-solving abilities and a proactive attitude toward collaboration with other teams.
Key responsibilities include:
- Designing and implementing ETL processes to move and transform data from various sources.
- Building and maintaining the data infrastructure necessary for data storage, processing, and analysis.
- Collaborating with data analysts and data scientists to understand their data needs and provide relevant support.
- Ensuring data quality and integrity throughout the data lifecycle.
- Optimizing data storage and retrieval processes for performance and scalability.
- Documenting data flows, transformations, and any changes to data architecture.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 3+ years of experience in a Data Engineer or similar role.
- Strong knowledge of SQL and experience with database technologies (e.g., PostgreSQL, MySQL).
- Proficient in programming languages such as Python, Java, or Scala.
- Experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, or similar).
- Familiarity with cloud platforms (e.g., AWS, Google Cloud Platform, Azure) and their data services.
- Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.
- Strong attention to detail and ability to ensure data accuracy and consistency.
- Excellent communication skills and ability to work collaboratively with cross-functional teams.
This is more than just an engineering role—it’s an opportunity to shape the infrastructure and technical future of Lucidya . You’ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
We offer Employee Stock Option Plans (ESOP) to give you ownership in the company’s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you’ll have the autonomy to lead, innovate, and grow—both personally and professionally.
#J-18808-LjbffrData Engineer
Posted today
Job Viewed
Job Description
The Data Engineer will play a crucial role in building and maintaining the data infrastructure at Lucidya. This role involves designing, developing, and managing scalable and robust data pipelines that support the analytics and machine learning teams. The Data Engineer will ensure that data is accessible, reliable, and organized to meet the growing analytical needs of the company.
The ideal candidate will have a strong background in data modeling, ETL processes, and database technologies. In addition to technical skills, the Data Engineer should possess excellent problem-solving abilities and a proactive attitude toward collaboration with other teams.
Key responsibilities include:
- Designing and implementing ETL processes to move and transform data from various sources.
- Building and maintaining the data infrastructure necessary for data storage, processing, and analysis.
- Collaborating with data analysts and data scientists to understand their data needs and provide relevant support.
- Ensuring data quality and integrity throughout the data lifecycle.
- Optimizing data storage and retrieval processes for performance and scalability.
- Documenting data flows, transformations, and any changes to data architecture.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 3+ years of experience in a Data Engineer or similar role.
- Strong knowledge of SQL and experience with database technologies (e.g., PostgreSQL, MySQL).
- Proficient in programming languages such as Python, Java, or Scala.
- Experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, or similar).
- Familiarity with cloud platforms (e.g., AWS, Google Cloud Platform, Azure) and their data services.
- Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.
- Strong attention to detail and ability to ensure data accuracy and consistency.
- Excellent communication skills and ability to work collaboratively with cross-functional teams.
This is more than just an engineering role—it’s an opportunity to shape the infrastructure and technical future of Lucidya . You’ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
We offer Employee Stock Option Plans (ESOP) to give you ownership in the company’s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you’ll have the autonomy to lead, innovate, and grow—both personally and professionally.
#J-18808-LjbffrSenior Data Engineer
Posted 3 days ago
Job Viewed
Job Description
The Senior Data Engineer is responsible for preparing data for modeling and predictive analytics. This includes integrating new data sources, performing pre-processing operations such as data cleansing, feature engineering, statistical analysis, and sampling, as well as managing a wide range of ETL-related tasks. The ideal candidate should demonstrate strong software development practices and a continuous learning mindset. Proficiency in Python, machine learning, data storage solutions, and ETL pipeline development is essential.
Job Responsibilities:
- Design and implement scalable data pipelines using SQL, Airflow, Python, Alteryx, and cloud-based technologies
- Lead the integration of data sources and design data models to meet complex business needs
- Ensure data quality by identifying issues and collaborating with source owners to implement preventive measures
- Deploy and optimize machine learning models, statistical methods, and analytics programs
- Research new data acquisition methods and innovative uses of existing data to drive business value
- Integrate advanced data management tools and software engineering practices to enhance system performance
- Build and maintain high-quality datasets to support decision-making and data-driven products
- Develop custom software components and analytics applications aligned with business requirements
- Implement strategies to improve data reliability, efficiency, and scalability
- Drive innovation through R&D initiatives within the data engineering team
- Collaborate cross-functionally to build a flexible, scalable, and high-performing data platform
- Maintain clear and comprehensive technical documentation for ongoing projects
Requirements
- Proficient in Python, with hands-on experience in data analysis and automation
- Skilled in usingDataiku for advanced data workflows and machine learning applications
- Familiarity with cloud services like AWS or Azure.
- Strong background in data visualization and statistical analysis to drive data-driven insights
- Practical experience with machine learning models and managing large-scale (big data) projects
- Solid understanding of programming concepts and data architecture principles
- Capable of defining and tracking meaningful metrics for data and analytics initiatives
- Excellent analytical skills with a balance of quantitative rigor and qualitative insight
- Highly proficient in Microsoft Office and Google Suite for documentation and collaboration
- Bachelor’s and/or Master’s degree in Computer Science or a related tec
Sr. Data Engineer
Posted 13 days ago
Job Viewed
Job Description
” The Job Description”
- Support the implementation and operation of the Data Management Office within the government entity.
- Apply national data governance policies and practices (as issued by SDAIA and Nadhee).
- Contribute to data integration, cleansing, and structuring initiatives.
- Collaborate with business and technical teams to gather and understand data requirements.
- Assist in building and maintaining data pipelines and ETL processes.
- Perform data profiling, quality assessment, and issue resolution.
- Document data sources, models, and standards to ensure consistency and reusability.
- Provide insights and support to enhance the quality and usability of data for decision-making.
Requirements:
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
- 3–5 years of experience in data engineering, data integration, or related fields.
- Experience with SQL, data pipelines, and ETL tools.
- Familiarity with data governance frameworks and metadata management.
- Understanding of SDAIA regulations and the “Nadhee” methodology is a strong advantage.
- Strong analytical and problem-solving skills.
- Ability to work within a multidisciplinary team embedded in a government environment.
- Proficiency in both Arabic and English is preferred.
Data Engineer/Analyst
Posted 13 days ago
Job Viewed
Job Description
We have an urgent request for an experienced data engineer to be allocated to one of our ongoing projects.
Immediate or expedited availability is required to start the job as soon as possible.
Department: 338111: SPECIALIZED BFSI DATA SOLUTIONS
Unit: 338311: SPECIALIZED BFSI DATA SOLUTIONS - DWH & ANALYTICAL SOLUTIONS
Role and ResponsibilitiesExpertise in data engineering, coding, and server troubleshooting.
Support Data Warehouse system for data integration activities.
Qualifications and Education Requirements- Saudi Nationality
- Bachelor's degree in Computer Science or Computer Engineering
- At least 4 years of relevant experience in data management domain
Skills- Minimum 4 years of experience in data management
- Strong analytical skills
- Experience with data integration (ETL) tools like Informatica and SSIS
- Expertise in data engineering, coding, and server troubleshooting
- Knowledge of Business Intelligence (BI) tools like Tableau is a plus
#J-18808-LjbffrSenior Data Engineer
Posted 13 days ago
Job Viewed
Job Description
Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 million users choose Tabby to stay in control of their spending and make the most out of their money.
The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 40,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
Tabby generates over $10 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.
Tabby launched in 2019 and has since raised +$ billion in equity and debt funding from global and regional investors, and is now valued at 3.3 billion.
We are hiring a Data Engineer for the Data Services Team who will help us create our internal solutions such as a Feature Store and will be ready to perform operational tasks.
Key Responsibilities
- 3-5 years of experience as Data Engineer, ML Engineer, Backend Engineer;
- Experience in developing high-load and scalable data processing and storage systems;
- Good knowledge and background in event driving systems and streaming pipelines;
- Python + best practice for Python;
- SQL + best practice for SQL;
- System design best practices;
- Familiar with tech stack as Airflow, Debezium, BigQuery / Clickhouse, PostgreSQL / CockroachDB, Docker, GitLab(CI/CD), GCP;
- REST API / GRPC API / Message brokers & Queues.
Bonus skills
- Golang development experience;
- Experience on modern systems of data storing: Relational, MPP, NoSQL;
- Experience on Google Cloud Platform.
Relocation
We offer remote work from anywhere in the world and are happy to work out an individual relocation plan for you.
Our employees have the opportunity to choose a country for registration: at the moment those are Armenia/Georgia/Serbia/Portugal/Spain.
We will help you open a legal entity and a bank account. In Armenia and Georgia the taxes are compensated by Tabby. In other countries we provide partial compensation of taxes.
We employ according to B2B contracts (service agreements).
For our employees we cover the following:
- Flight to one of the mentioned countries.
- Accommodation during the paperwork completion period.
- Opening a bank account and getting a residence permit in one of the mentioned countries.
- Family relocation (dependants).
New employees can also choose an alternative method of relocation to another country of their choice. In this case, Tabby will reimburse up to 5,000 of verified costs upon opening a legal entity and a bank account.
What you can expect- We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
- A working environment that gives you autonomy and responsibility from day one.
- You should be comfortable with the idea that the quality of your work will influence the shape of your career.
- Participation in company’s employee stock options program.
- Health Insurance
We are passionate about creating an inclusive, high-performing workplace that gives people from all backgrounds the support they need to thrive, grow and meet their goals (whatever they may be).
If this sounds exciting to you, we’d love to hear from you!
Tabby creates financial freedom in the way people shop, earn and save, by reshaping their relationship with money.
The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 32,000 global brands and small businesses, including Amazon, Noon, IKEA and Shein use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
Tabby has generated over $7 bil ion in transaction volume for its partner brands and has the highest rated, most reviewed, largest and fastest growing app of any fintech in the GCC region.
Tabby launched operations in 2020 and has raised + 1 billion in equity and debt funding from global and regional investors.
Our Hiring Process
Stage 4:
Technical interview @Tabby
Stage 5:
Assessment
Stage 6:
Final interview @Tabby
Stage 7:
Hired
Stage 1:
Applied
Stage 2:
Review
Stage 3:
HR call @Tabby
Stage 4:
Technical interview @Tabby
Stage 5:
Assessment
Stage 6:
Final interview @Tabby
Stage 7:
Hired
Stage 1:
Applied
Stage 2:
Review
Stage 3:
HR call @Tabby
Stage 4:
Technical interview @Tabby
Stage 5:
Assessment
Stage 6:
Final interview @Tabby
Stage 7:
Hired
Not quite right? Register your interest to be notified of any roles that come along that meet your criteria.
Register Your Interest #J-18808-LjbffrBe The First To Know
About the latest Data engineer btelligent gmbh co kg devjobs Jobs in Riyadh !
Senior Data Engineer
Posted today
Job Viewed
Job Description
Quant Data & Analytics Company | Full time
Quant, a pioneering Saudi enterprise, leads the charge in digital transformation by leveraging the vast array of data resources available in the fourth industrial revolution. We are deeply committed to delivering exceptional Data Science and AI SaaS products and solutions, with a specialized focus on the real estate sector through Suhail and the retail sector through Fruits360. Our talented dream team possesses unique expertise, enabling us to achieve a track record of marvels, from analyzing more than a trillion data records to serving hundreds of clients across more than 10 industries. Our strategic international and local partnerships alongside our expertise have positioned us as trailblazers in the global transition towards data-driven economies.
This is a remote position.
The Senior Data Engineer is responsible for preparing data for modeling and predictive analytics. This includes integrating new data sources, performing pre-processing operations such as data cleansing, feature engineering, statistical analysis, and sampling, as well as managing a wide range of ETL-related tasks. The ideal candidate should demonstrate strong software development practices and a continuous learning mindset. Proficiency in Python, machine learning, data storage solutions, and ETL pipeline development is essential.
Job Responsibilities:
- Design and implement scalable data pipelines using SQL, Airflow, Python, Alteryx, and cloud-based technologies
- Lead the integration of data sources and design data models to meet complex business needs
- Ensure data quality by identifying issues and collaborating with source owners to implement preventive measures
- Deploy and optimize machine learning models, statistical methods, and analytics programs
- Research new data acquisition methods and innovative uses of existing data to drive business value
- Integrate advanced data management tools and software engineering practices to enhance system performance
- Build and maintain high-quality datasets to support decision-making and data-driven products
- Develop custom software components and analytics applications aligned with business requirements
- Implement strategies to improve data reliability, efficiency, and scalability
- Drive innovation through R&D initiatives within the data engineering team
- Collaborate cross-functionally to build a flexible, scalable, and high-performing data platform
- Maintain clear and comprehensive technical documentation for ongoing projects
- Proficient in Python, with hands-on experience in data analysis and automation
- Skilled in usingDataiku for advanced data workflows and machine learning applications
- Familiarity with cloud services like AWS or Azure.
- Strong background in data visualization and statistical analysis to drive data-driven insights
- Practical experience with machine learning models and managing large-scale (big data) projects
- Solid understanding of programming concepts and data architecture principles
- Capable of defining and tracking meaningful metrics for data and analytics initiatives
- Excellent analytical skills with a balance of quantitative rigor and qualitative insight
- Highly proficient in Microsoft Office and Google Suite for documentation and collaboration
- Bachelor’s and/or Master’s degree in Computer Science or a related technical field
- Agile, innovative, and solutions-oriented thinker with a strong sense of ownership
- Collaborative and dependable team player, effective in multicultural and diverse environments
Data Engineer | Riyadh, SA
Posted 9 days ago
Job Viewed
Job Description
Accenture Technology:
Through unmatched industry experience, leading technologies from our ecosystem partners and startups, and the largest delivery network in the world, we provide a powerful range of capabilities that can be tailored to our client's most complex business needs. With over 100 innovation hubs deployed around the world, we help clients continuously innovate at speed and at scale so they can outpace their peers. You will bring innovation, intelligence, and industry experience together with the newest technologies to help clients innovate at scale and transform their businesses. Visit us at Overview:
As a Data Engineer Consultant, you'll design, develop, and manage data solutions that drive data generation, collection, and processing. You'll take ownership of critical engineering components-from data pipelines to ETL flows-maintaining data quality and enabling robust insights. You will lead as a subject matter expert, collaborating across multiple teams to influence strategic decisions and ensure seamless delivery.
Key Responsibilities:
- Design, implement, and maintain end-to-end data pipelines and ETL/ELT workflows to move, transform, and load large datasets. Ensure efficiency, scalability, and reliability.
- Conduct regular assessments to ensure data integrity and consistency. Implement validation and monitoring mechanisms across pipelines.
- Develop innovative, high-performance data solutions that enhance operational efficiency and elevate the customer experience.
- Engage with product teams, data scientists, and business stakeholders to understand requirements and translate them into effective data solutions.
- Serve as an SME and guide technical decisions. Collaborate with peers and mentor team members on best practices.
- Monitor pipelines for performance, troubleshoot issues, and implement enhancements for scalability and efficiency.
Required Skills & Qualifications:
- Experience: 6-8 years in data engineering, with strong ETL and data pipeline expertise.
- Advanced proficiency in data engineering, data processing, migrations, access, and pipeline development.
- Strong skills in SQL, Python, and modern data frameworks/tools (e.g., Airflow, Spark, Hadoop)
- Proficient in ETL tools and processes.
- Ability to design scalable and efficient data architectures.
- Familiarity with cloud platforms (AWS, Azure, GCP) and data storage technologies.
- Experience working with multiple teams to identify requirements and deliver comprehensive solutions.
- Proven decision-making capabilities in collaborative environments.
Why join us?
- We offer a transparent, fast paced approach career progression, with a focus on your strengths and continuous coaching from senior colleagues
- You will benefit from working alongside Accenture experts who are solving some of the biggest industry challenges with innovative thinking and pioneering tools
- Flexible work arrangements and a range of benefits including competitive rewards
- You will have access to state-of-the-art technology that will give you the opportunity to deepen your existing skills even as you help create the latest business trends
- You will also have opportunities to make a difference to the communities in which we work and live
Next Steps:
If this sounds like the ideal role, career and company for you, click to apply.
To learn more about life @AccentureMiddleEast, follow us on social media and keep up with our latest news.
Accenture Middle East: LinkedIn, Instagram, Facebook, Twitter, YouTube
About Accenture
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces.Join Accenture to work at the heart of change.
Visit us at Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Boost your career Find thousands of job opportunities by signing up to eFinancialCareers today.
#J-18808-LjbffrSenior Data Engineer | Riyadh, SA
Posted 9 days ago
Job Viewed
Job Description
Accenture Technology:
Through unmatched industry experience, leading technologies from our ecosystem partners and startups, and the largest delivery network in the world, we provide a powerful range of capabilities that can be tailored to our client's most complex business needs. With over 100 innovation hubs deployed around the world, we help clients continuously innovate at speed and at scale so they can outpace their peers. You will bring innovation, intelligence, and industry experience together with the newest technologies to help clients innovate at scale and transform their businesses. Visit us at Overview:
As a Data Engineer Consultant, you'll design, develop, and manage data solutions that drive data generation, collection, and processing. You'll take ownership of critical engineering components-from data pipelines to ETL flows-maintaining data quality and enabling robust insights. You will lead as a subject matter expert, collaborating across multiple teams to influence strategic decisions and ensure seamless delivery.
Key Responsibilities:
- Design, implement, and maintain end-to-end data pipelines and ETL/ELT workflows to move, transform, and load large datasets. Ensure efficiency, scalability, and reliability.
- Conduct regular assessments to ensure data integrity and consistency. Implement validation and monitoring mechanisms across pipelines.
- Develop innovative, high-performance data solutions that enhance operational efficiency and elevate the customer experience.
- Engage with product teams, data scientists, and business stakeholders to understand requirements and translate them into effective data solutions.
- Serve as an SME and guide technical decisions. Collaborate with peers and mentor team members on best practices.
- Monitor pipelines for performance, troubleshoot issues, and implement enhancements for scalability and efficiency.
Required Skills & Qualifications:
- Experience: 8-12 years in data engineering, with strong ETL and data pipeline expertise.
- A degree in Computer Science, Engineering, Data Science, or a related analytical field .
- Advanced proficiency in data engineering, data processing, migrations, access, and pipeline development.
- Strong skills in SQL, Python, and modern data frameworks/tools (e.g., Airflow, Spark, Hadoop)
- Proficient in ETL tools and processes.
- Ability to design scalable and efficient data architectures.
- Familiarity with cloud platforms (AWS, Azure, GCP) and data storage technologies.
- Experience working with multiple teams to identify requirements and deliver comprehensive solutions.
- Proven decision-making capabilities in collaborative environments.
Why join us?
- We offer a transparent, fast paced approach career progression, with a focus on your strengths and continuous coaching from senior colleagues
- You will benefit from working alongside Accenture experts who are solving some of the biggest industry challenges with innovative thinking and pioneering tools
- Flexible work arrangements and a range of benefits including competitive rewards
- You will have access to state-of-the-art technology that will give you the opportunity to deepen your existing skills even as you help create the latest business trends
- You will also have opportunities to make a difference to the communities in which we work and live
Next Steps:
If this sounds like the ideal role, career and company for you, click to apply.
To learn more about life @AccentureMiddleEast, follow us on social media and keep up with our latest news.
Accenture Middle East: LinkedIn, Instagram, Facebook, Twitter, YouTube
About Accenture
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces.Join Accenture to work at the heart of change.
Visit us at Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Boost your career Find thousands of job opportunities by signing up to eFinancialCareers today.
#J-18808-Ljbffr