Senior Data Engineer - Better Planner

Bettermile
Berlin, Germany
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, German
Experience level
Senior

Job location

Remote
Berlin, Germany

Tech stack

Geographic Information Systems
Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Big Data
Data Sharing
Data Systems
Python
Machine Learning
SQL Databases
Snowflake
Machine Learning Operations
Amazon Web Services (AWS)
Data Pipelines

Job description

Better Planner is the newest product in the Bettermile suite, built to redefine how logistics operations plan, predict, and execute. Depot mornings determine cost, productivity, and delivery performance for the entire day. Better Planner uses AI powered planning models and delivery patterns to design balanced routes, define clear loading zones, and prepare dispatch teams before operations begin.

With structured loading logic and parcels pre assigned to drivers, sorting is faster, loading is smoother, and drivers spend more time delivering instead of waiting in the depot.

You will be taking care of

  • Architect, improve, and implement data pipelines for BetterPlanner while reaching for durable execution
  • Supply the ML models with correct, timely and clean data
  • Keep track and monitor pipelines to identify quality issues
  • Support software developers and data analysts with new data points or expansion to new countries
  • Work together with the other data engineers and analysts from other teams to improve the shared data platform
  • Coordinate and devise action plans to support the growth of the company as a whole
  • Provide technical mentorship of the whole tribe in terms of latest technologies, best practices

Requirements

  • You will be surrounded by like-minded, driven, skilled, and highly motivated people who are keen to contribute to successful solutions, * Highly skilled in Python and SQL, with proven experience working with Snowflake
  • Experienced with big data manipulation and ingestion tools like dbt, Fivetran, or similar technologies
  • Know your way around job orchestrators, with a strong preference for Dagster.
  • You're naturally curious, highly adaptable, and thrive on tackling complex problem-solving challenges
  • You excel at stakeholder management, communication, and collaboration, meaning you love working in a team environment and easily translate complex technical concepts for non-technical business partners
  • Bring a customer-centric mindset, always designing and building data solutions with the ultimate end-user in mind
  • Fluent in the English language written and spoken, German is not required

It is awesome if you also have

  • Solid knowledge of AWS, especially services like RDS, S3, Firehose, and queue-based ingestion systems like SQS or event buses
  • Experience handling and visualizing geospatial data effectively
  • Some exposure to MLOps, specifically hosting, inference, and running training jobs for machine learning models

Benefits & conditions

  • 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 onsite, 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!

About Better Planner Tribe

About the company

* We mean diversity, and we put it in numbers: 130+ people, 40 languages, 40% female (vs. ø26% in the tech industry), ø33 years of age, and yes, we do have Schlager-Fans among us

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