Data Engineer (d/f/m) - Geo Solutions

At Bettermile, we believe delivery shouldn’t be business as usual. We’re transforming last-mile logistics to drive efficiency and create a better delivery experience for everyone.

Our geo-based, AI-powered SaaS product handles complex address processing, dynamic routing, and navigation. It is built to manage many stops and multiple constraints.

We’re setting a new standard for the last mile and pushing the industry forward, powered by a skilled, international team of tech enthusiasts, logistics experts, and a product suite designed to keep evolving.

We mean it when we say “cutting edge” and have a high level of creative freedom in our everyday work.

You will be surrounded by like-minded, driven, skilled, and highly motivated people who are keen to contribute to successful solutions.

We mean diversity, and we put it in numbers: 130+ people, 36 languages, 35% female (vs. ø26% in the tech industry), ø33 years of age, and yes, we do have Schlager-Fans among us.

We have a very supportive and appreciative working environment with a lot of autonomy, a flat hierarchy, and professional growth possibilities.

We work in a hybrid mode, with weekly team days for better collaboration and nurturing interpersonal connections. When on-site, we work in a modern, kid- and pet-friendly Better Space in the heart of Berlin-Kreuzberg.

• Remote work from anywhere for up to 12 weeks in total per year.
• 30 vacation days in a 5-day/week working model.
• Kindergarten grant and a Company Pension scheme.
• Regular team breakfasts, fitness & wellness classes, company runs, and other events.
• Fruits, snacks, drinks, and coffee with a variety of milk are a given - but yes, we have them.
• Outstanding flexibility we are proud of – and, of course, the best colleagues in the world!

Location data sits at the heart of every delivery, and the Better Places tribe owns the address intelligence that makes those deliveries possible. We ingest messy, real-world address inputs, normalise them, correct geocoding errors, and enrich them with open and proprietary data—all at a scale of hundreds of millions of requests per month.

Within the tribe, the Geo Solutions team builds and maintains the data pipelines that power our address enrichment, first-mile routing, and last-meter delivery features. We focus on building scalable, observable, and high-quality geodata workflows that enable fast onboarding of new markets and continuous improvement in existing ones.

We’re a tight-knit, fast-moving group that loves diving deep into the quirks of global addressing. On any given day, you’ll find us debating spatial joins, pipeline sensors, or the best way to model address data in SQL. Our stack runs entirely in AWS and centres on Dagster, dbt, and DuckDB, with plenty of open-source tooling.

If you’re excited by geocoding accuracy, address parsing, and building resilient geodata pipelines that serve millions of deliveries, you’ll feel at home here.

• Designing, building, and scaling geodata pipelines to support our growing GeoSolutions product.
• Contribute to data modelling efforts that promote consistency, reusability, and scalability.
• Developing efficient workflows to process spatial data across new and existing regions.
• Identifying performance bottlenecks and proposing scalable solutions for handling large volumes of geospatial data.
• Building and maintaining validation and monitoring systems that guarantee high-quality data processing.
• Translating product requirements into robust, test-covered ETL/ELT pipelines.
• Participating in code reviews, CI/CD deployments, and team-wide knowledge sharing.
• Helping create reusable data assets that unlock value across teams and potentially external partners.

• 3+ years of data engineering experience, with a track record of building modular, production-grade data pipelines.
• 2+ years of hands-on geodata experience, with a strong grasp of GIS fundamentals and real-world spatial data processing at scale.
• Expert in SQL and experienced with dbt (2+ years).
• Skilled at querying engines like DuckDB, Athena, or Snowflake.
• Confident in data cleansing, especially using data transformation techniques and regular expressions.
• Strong Git user: versioning, branching strategies, and collaboration are second nature to you.
• Comfortable working with CI/CD pipelines (e.g. GitHub Actions, Dagster deployments, dbt-docs publishing).
• Agile mindset and excellent self-organisation.

• Experience wrangling large spatial datasets or event streams (e.g., using S3, Parquet, Apache Sedona, or H3).
• Background in geocoding or parcel-delivery logistics.
• Working knowledge of Python or JVM languages.
• Familiarity with GIS tools such as QGIS, Mapbox, or similar.
• Passion for open data (e.g., OpenStreetMap, Overture Maps, open address registries).
• Contributions to or interest in open-source geodata or data engineering tools.
• Proficiency in German (C1) is a plus.

Take your chance and step to the forefront of changing a rapidly growing industry with your contributions. You will take responsibility quickly, however, supported by mentors at all times. We provide an open corporate culture based on sharing and learning, equal footing collaboration, and short decision-making.

Currently, we’re proceeding only with candidates authorized to work in Germany or who already hold a Job Seeker Visa.