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Salary
≈ $61k – $101k per year (Estimated)
Location
Hybrid (Warsaw, Poland, Berlin, Germany)
Seniority
Senior · 5+ years exp
Employment
Full-Time

First seen by Alion on Sep 22, 2026.

Overview
Company
Impact
Profile match
Bolt is an Estonian mobility super-app that offers a wide range of urban transportation and delivery services across Europe, Africa, Western Asia, and Latin America. Founded in 2013 as Taxify, the platform provides ride-hailing, micromobility rentals such as electric scooters and e-bikes, car-sharing, and food and grocery delivery. Today, the company serves over 150 million customers across more than 45 countries, focusing on providing affordable, fast, and sustainable urban travel solutions.

Data Platform Compute builds and runs the compute layer that every data practitioner at Bolt depends on. If someone at Bolt schedules a pipeline, opens a notebook, trains a model, or runs an experiment, they are running on infrastructure we own.

We operate platform-as-a-product: our customers are internal, our measure of success is developer productivity and time-to-insight across the data organisation, and the best outcome is teams shipping at speed without ever needing to talk to us.

Main tasks and responsibilities:
  • Design, build, and operate self-serve solutions based on Databricks, Airflow, and Spark infrastructure that runs Bolt's data workloads so that data practitioners can provision, deploy, and debug.
  • Keep 800+ daily Databricks jobs reliable, observable, and cost-efficient with an observability layer that detects pipeline failures and surfaces areas for improvement.
  • Scale Looker reporting and ad-hoc querying on shared warehouses; own routing, cluster sizing, and the performance-versus-cost trade-offs for the 4,000+ Bolt employees, serving 300,000+ queries daily over petabytes of data.
  • Build the AI surface over the platform - stand up Databricks MCP servers, put agents to work on our pipelines, and build the self-service tooling that means teams no longer route through us.
  • Work directly with Analytics Engineering, Data Science, ML, Experimentation, Ingestion, Governance, and SRE Data teams - as a partner.

Wymagania

  • At least 5 years of software engineering experience, including hands-on experience with large-scale distributed data systems or compute engines like Apache Spark.
  • Proficient in Python or another mainstream OOP language. We care about strong engineering fundamentals and adaptability.
  • Familiar with the modern data stack (dbt, Databricks, Airflow, or equivalents)
  • Hands-on with Databricks in production, especially Unity Catalog, cluster policies, or serverless compute and performing cloud cost optimisation at scale.
  • Solid AWS fundamentals (IAM, S3, EC2, networking) and infrastructure as code, ideally Terraform.
  • You treat CI/CD, testing, and observability as core engineering principles, not afterthoughts.
  • At Bolt, using AI daily is a baseline expectation for everyone. If there's a faster, smarter way to do your work, we expect you to find it.

Oferujemy

Why join Bolt?
  • Build the future of mobility and help transform how people live and move in cities.
  • Tackle challenges at scale that span technology, operations, regulation, and growth.
  • Take real ownership early. Small, lean teams mean your decisions matter from day one, and you'll learn fast alongside some of the best people in the industry.
  • Join one of Europe's leading technology companies, backed by world-class investors including Sequoia.
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