Engineering Manager Data Platform
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Tech stack
Job description
Job Description: For us**"Let's Go!"**is not just a slogan, it is an attitude. We love technology and we want to excite. We have fun and want to inspire. Our customers and our teams. That's why we are looking for people who share this spirit. People who are passionate about creating the shopping experience of the future together with 50.000 colleagues across Europe. # Your tasks - Collaboration with Tech Leads: Evaluation and guidance of technical solutions for data infrastructure and analytics - Backlog prioritization support: Contribution to backlog prioritization with a focus on cross-functional data initiatives and reduction of technical debt - Third-party management: Management of relationships and deliverables from external data technology partners - Team leadership and development: Leadership and mentoring of a diverse team of data analysts, engineers, and scientists, with a focus on professional growth and continuous learning - Talent
acquisition: Driving recruitment and hiring of internal and external data talent across multiple disciplines - Resource and staffing ownership: Responsibility for staffing and resource planning, including coordination of data product secondments - Data platform strategy contribution: Active contribution to the development and evolution of the data platform strategy - Workforce planning: Strategic shaping of team composition and skill sets to ensure future readiness and success - Internal networking: Building and maintaining strong cross-functional relationships and internal networks - Escalation management: Handling of internal escalations with clarity, empathy, and solution-oriented communication - Culture development: Fostering a culture of openness, collaboration, and alignment across teams - Technical partnership: Acting as the technical counterpart to Product Managers and Product Owners - Cross-functional alignment: Bridging technical and product
Requirements
perspectives to ensure alignment and shared outcomes # Your profile - Proven experience in engineering leadership with data-focused teams, ideally managing mixed teams of analysts, engineers, and scientists - Strong technical background with the ability to evaluate and support data architecture decisions, including:- Data engineering technologies (Apache Spark, Kafka, Airflow, dbt) - Cloud data platforms (BigQuery, Snowflake, Databricks, or similar) - Data pipeline orchestration and ETL/ELT processes - Modern data stack tools and frameworks - SQL and Python for data analysis and engineering - Data modeling and warehousing concepts - Data engineering technologies (Apache Spark, Kafka, Airflow, dbt) - Cloud data platforms (BigQuery, Snowflake, Databricks, or similar) - Data pipeline orchestration and ETL/ELT processes - Modern data stack tools and frameworks - SQL and Python for data analysis and engineering - Data modeling and warehousing concepts - Nice