Public summary
Seeking an Analytics Engineer to join a multinational data team focused on implementing a Data Mesh architecture to provide trusted data access and support data-driven decision making in the mobility sector. The role involves collaborating with analysts, developers, and data scientists to develop and improve data products, build data pipelines, assure data quality, and enable accessible data environments using modern tools such as SQL, Python, Databricks, Tableau, and AWS.
Location and work setup
- Location
- Berlin
- Remote status
- Hybrid
- German requirement signal
- No German Required Detected
- Detected job language
- English
Responsibilities
Collaborate with stakeholders to develop and enhance data products within a Data Mesh. Work closely with data analysts, scientists, and software engineers to gather requirements and deliver solutions aligned with business needs. Build and maintain data pipelines and the definitive source of truth for KPIs. Ensure data quality and trustworthiness by applying data quality checks. Troubleshoot data issues and support their resolution. Foster an environment that enables self-service data access for all users.
Qualifications
Proven experience in a data-driven analytics role, especially in tech product organizations. Expert level in SQL (notably SparkSQL) and building data pipelines. Proficiency in at least one programming language, preferably Python. Strong analytical and problem-solving skills. Experience with data visualization tools like Tableau and event tracking tools such as Mixpanel. Excellent English communication skills. Knowledge of AWS, Hive, Spark, Trino, Databricks, and Airflow is advantageous.