Engineering Manager Data Platform

Media Gmbh
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
€ 189K

Job location

Tech stack

Airflow
Google BigQuery
Data Architecture
Information Engineering
Data Infrastructure
ETL
Data Warehousing
Cloud Services
SQL Databases
Snowflake
Spark
Technical Debt
Kafka
Data Pipelines
Databricks

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

About the company

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