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 solution
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 operation
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 (preferr
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
Connect and grow with fellow experts through our annual TechnoZaures, sharing skills and know
Ready to code your story with us Apply Now!