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**
- 5-7 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
- 20 days of annual leave + up to 5 LEAP(Learning, Education, Advancement, Progress) days
- 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