Data Engineer

Is there a Zenika in you?

Let’s talk skills and passion first.

You’re a data enthusiast who thrives on transforming complexity into clarity. With deep technical expertise in AWS and Databricks, you design robust, scalable, and high-performance data pipelines that power intelligent decisions. Curious by nature, you’re constantly exploring new tools, automation techniques, and architectures to deliver meaningful data solutions that scale.

Your Role as a Zenika Consultant:

As a Data Engineer Consultant, you’ll play a key role in designing and implementing data platforms for our clients — particularly in public sector and enterprise environments. You’ll work hands-on with technologies like AWS, Databricks, and PySpark, and collaborate with cross-functional teams to deliver scalable, production-ready data solutions.

You’ll work on projects that will allow you to:

• Design and build enterprise-scale data architectures — including data lakes, warehouses, and real-time streaming pipelines.

• Develop and maintain high-performance ETL/ELT pipelines that process large volumes of structured and unstructured data.

• Implement and optimise data transformations in Databricks using PySpark, Python, and SQL, ensuring quality, scalability, and cost-efficiency.

• Collaborate and mentor — guide junior engineers, review code, and drive adoption of best practices in data engineering and DevOps.

• Integrate and automate data flows using APIs, AWS services (Glue, Redshift, S3, EMR, Lambda), and real-time tools like Kafka or Kinesis.

• Monitor and troubleshoot performance bottlenecks, ensuring reliability, consistency, and security across all data operations.

What You Bring

• 4+ years of experience in data engineering, ideally on AWS-native platforms

• Proven experience building ETL/ELT pipelines, migrating data solutions, and managing real-time streaming architectures.

• Hands-on expertise in Databricks, PySpark, Python, and SQL for large-scale data transformation.

• Strong understanding of data warehouse design (Redshift, Snowflake) and data governance principles.

• Familiarity with DevOps concepts, including CI/CD workflows and version control (GitLab, GitHub).

• Experience with serverless compute (AWS Lambda, Azure Functions) and automation scripting.

• Solid grasp of data security, performance optimisation, and cost management in cloud environments.

• Excellent communication and collaboration skills — you translate complex technical details into clear business language.

• Bonus: Experience with public sector or HR analytics projects, as well as mentoring and leading data teams.

• Bachelor’s degree in Computer Science, Data Engineering, or a related field (Master’s preferred).

• Certifications such as:AWS Certified Data Engineer – Associate or AWS Certified Solutions Architect, Databricks Certified Data Engineer (Associate/Professional), Snowflake or Redshift certifications (a plus), Agile/Scrum Master certification (preferred)

About Zenika

Founded by developer Carl Azoury, Zenika is a consultancy built around community, transparency, and craftsmanship. We are passionate technophiles advising clients with deep expertise in open-source tech and modern solutions.

Why Join Zenika?

• Work with a global client base across 11 locations, benefiting from over 28,000 Zenika-led training sessions

• Partner with tech giants like Google Cloud and Scrum.org, and engage in research, open-source contributions, and conferences outside client projects

• Participate in Zenika tech conferences (TechnoZaures) to learn, share, and grow together

• Hybrid work arrangement

• Dedicated Learning & Development (L&D) budget to support your growth

• Flexible benefits package to cater to your well-being and lifestyle needs

• Comprehensive international medical insurance package