Lead the modernization of Joppy's data ecosystem by migrating legacy ETL systems to cloud-native architecture. Design, develop, and maintain data pipelines in Databricks and cloud-based data platforms. Collaborate with cross-functional teams to ensure reliability and performance at scale.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
We are looking for a Senior Data Engineer to lead the modernization of our data ecosystem. You will play a key role in migrating legacy on-premise ETL systems to a cloud-native architecture, building robust data pipelines in Databricks, Delta Lake, and AWS/Azure/GCP.
WHAT YOU WILL DO
- Design, develop, and maintain data pipelines and ETL/ELT processes in Databricks and cloud-based data platforms.
- Lead lift & shift initiatives, migrating existing Pentaho ETL jobs, on-premise data pipelines, and reporting workflows to cloud-native architectures.
- Build and optimize Medallion layer in a Delta Lake / Lakehouse architecture for marketing and customer analytics data.
- Automate data quality, validation, and monitoring for all pipelines, ensuring reliability and performance at scale.
- Participate in solution architecture discussions, providing input on technology selection, performance, and resource optimization.
- Opportunity to mentor junior engineers and shape data engineering best practices.
WHO YOU ARE
- 6+ years of experience in data engineering, preferably in marketing or customer analytics contexts.
- Strong expertise in ETL/ELT processes and data migration strategies.
- Hands-on experience with Databricks, Delta Lake, Spark, Python, SQL, and cloud platforms (AWS, Azure, or GCP), Strong expertise in ETL/ELT processes and data migration strategies
- Experience with legacy ETL tools like Pentaho, Informatica, or SSIS & Airflow, dbt, or other orchestration frameworks is highly desirable.
- Strong understanding of data modelling, data warehousing, and big data architectures.
- Strong problem-solving, communication, and collaboration skills.
- Ideally experience in the User Tracking and analytics in e-commerce environment.
- Experience with Power BI, Looker, or other BI/reporting tools.
- Excellent communication skills and confidence in working with cross-functional teams and collaboration with data scientists, analysts.
WHAT WE OFFER
- Up to 32 days of holiday, depending on the length of service, starting with 28 days
- Mobile office with up to 20% of your total contracted hours (job and position permitting)
- 10 days/year of mobile office abroad in EU-countries (job and position permitting)
- Language & e-learning courses
- Staff discount of up to 30%
- Company pension scheme
- Discounted membership for selected sports platforms & gyms
- Discounted travel card
- Access to LinkedIn Learning
- Individual support on mental health & well-being (e.g. compatibility work and family life)
- Social Day
- Employee Share Purchase Plan
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