What you'll be doing

Design and implement data pipelines, data models, and analytics solutions used across DataMesh
Partner with cross-functional teams to define data requirements and build supporting data models
Build and maintain ETL processes to ensure high data quality and integrity while minimizing latency and processing time
Translate problem statements and metrics into efficient technical solutions with application and analytics teams
Create dashboards that provide clear visibility into data and performance metrics for stakeholders
Collaborate with data engineers on data catalogs, access controls, and governance processes, while mentoring peers

Requirements

Bachelor's degree in computer science, information systems, mathematics, statistics, or a related field
5+ years experience in data engineering, analytics, or related roles, including expertise with large-scale data processing frameworks and tools (e.g., Hadoop, Spark, SQL)
Strong programming skills in Python, R, or Java, with proficiency in SQL
Expertise in data modeling, database design, and data warehousing, including experience with relational databases (e.g., MySQL, PostgreSQL)
Excellent communication and collaboration skills and ability to explain technical concepts to technical and non-technical stakeholders
Good understanding of data governance, data quality, and data security principles

Hybrid working model with 2 days per week onsite at the Berlin campus
27 days holiday with additional days on 2nd and 3rd year of service
€1,000 educational budget, language courses, parental support, and access to Udemy Business
Health checkups, meditation, gym and bicycle subsidies
Employee Share Purchase Plan, Sabbatical Bank, public transportation ticket discount, life & accident insurance, and corporate pension plan
Digital meal vouchers, food vouchers, and corporate discounts for meals
Relocation support and resources for moving to Berlin