AWS Data Engineer / ML Engineer

Company Description

About Devoteam:

Devoteam is a leading consulting firm focused on digital transformation. We help our clients leverage technology to achieve their business goals. Our longstanding partnerships with leaders like AWS, Google Cloud, Microsoft, and ServiceNow amplify our capabilities, allowing us to deliver top-tier expertise and award-winning services.

For 30 years, we have always been on the next tech wave. Devoteam has guided organizations through the Internet and cloud. The next revolution? AI.

With 11,000 tech natives working in 25+ countries, we bring you highly skilled IT experts across Europe.

At Devoteam, tech is in our DNA, and it’s the people we empower with tech. Now, with responsible AI, we’re ready to unlock a future where technology drives positive change.

Job Description

About the Role

We are seeking a talented and passionate AWS Data Engineer / ML Engineer to join our growing team. In this role, you will play a key part in designing, building, and maintaining data pipelines and machine learning solutions on the AWS cloud platform. You will be involved in the full project lifecycle, from gathering requirements to deploying and monitoring production systems. You will also have the opportunity to contribute to pre-sales activities, helping to shape and win new business.

Responsibilities:

• Engineering & Delivery: 

  • Design, develop, and deploy robust and scalable data pipelines using AWS services such as S3, Glue, Lambda, Kinesis, EMR, and Redshift.

  • Build and optimize data lakes and data warehouses to support business intelligence and data analytics initiatives.

  • Develop and implement machine learning models using AWS services such as SageMaker, Comprehend, and Rekognition.

  • Collaborate with data scientists to deploy and operationalize machine learning models.

  • Ensure data quality and integrity throughout the data lifecycle.

  • Implement data governance and security best practices.

  • Stay up-to-date with the latest AWS technologies and best practices.

  • Create and present data visualizations using tools such as Tableau, Power BI, or Python libraries (e.g., matplotlib, seaborn).

• Pre-sales: 

  • Contribute to the development of proposals and presentations for potential clients.

  • Participate in client meetings and workshops to understand their needs and challenges.

  • Provide technical expertise and insights to support the sales process.

  • Assist in the creation of proof-of-concept solutions to demonstrate Devoteam's capabilities.

Qualifications

• Essential: 

  • Minimum 3 years of proven experience as a Data Engineer or ML Engineer with a strong understanding of AWS cloud services.

  • Hands-on experience with data processing frameworks such as Spark and Hadoop.

  • Proficiency in Python or another relevant programming language.

  • Experience with SQL and relational databases.

  • Strong understanding of data warehousing and data modeling concepts.

  • Experience with version control systems (e.g., Git).

  • Excellent communication and collaboration skills.

  • Fluent in English and Dutch/French. Mandatory 

• Desirable: 

  • Experience with machine learning algorithms and techniques.

  • Experience with containerization technologies (e.g., Docker, Kubernetes).

  • AWS certifications (e.g., AWS Certified Data Analytics - Specialty).

  • Experience working in an Agile environment.

  • Contributions to open-source projects.

  • Experience with data visualization tools such as Tableau, Power BI, or Python libraries (e.g., matplotlib, seaborn).

  • Prior experience in a client-facing or pre-sales role.

Additional Information

Why choose us?

• Thrive in a fast-growing, entrepreneurial environment

• Work with innovative and impactful Cloud, Data & AI projects for industry-leading clients

• Connect with extraordinary talents in a collaborative and diverse culture

• Enjoy a healthy work-life balance in an inspiring, eco-friendly workplace

• Competitive compensation package

At Devoteam, we combine strong values – respect, frankness, ambition, entrepreneurship & collaboration – with a fun and supportive environment that empowers you to innovate, grow, and succeed in the fast-paced world of Cloud, Data & AI.