Назад
4 дня назад

Senior Software Engineer, Compute (Databricks)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland/Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Software Engineer, Compute (Databricks): Building and operating self-serve compute infrastructure for Bolt's data workloads with an accent on Databricks, Airflow, Spark, observability, and cloud cost optimisation. Focus on scaling reliable data platforms, serving thousands of queries across petabytes of data, and building AI-powered self-service tooling for data practitioners.

Location: Hybrid in Warsaw, Poland or Berlin, Germany

Company

Bolt is a global mobility platform providing ride-hailing, food delivery, micromobility, and car-sharing services across 50 countries.

What you will do

  • Design, build, and operate self-service compute solutions based on Databricks, Airflow, and Spark.
  • Enable data practitioners to provision, deploy, and debug data workloads independently.
  • Maintain reliability, observability, and cost efficiency for more than 800 daily Databricks jobs.
  • Scale Looker reporting and ad-hoc querying across shared warehouses processing more than 300,000 queries daily over petabytes of data.
  • Build AI capabilities for the platform, including Databricks MCP servers, pipeline agents, and self-service tooling.
  • Partner with Analytics Engineering, Data Science, ML, Experimentation, Ingestion, Governance, and SRE Data teams.

Requirements

  • At least 5 years of software engineering experience, including large-scale distributed data systems or compute engines such as Apache Spark.
  • Proficiency in Python or another mainstream object-oriented programming language.
  • Experience with the modern data stack, including dbt, Databricks, Airflow, or equivalent technologies.
  • Hands-on production experience with Databricks, especially Unity Catalog, cluster policies, or serverless compute.
  • Experience with cloud cost optimisation at scale, AWS fundamentals, and infrastructure as code, ideally Terraform.
  • Strong engineering practices covering CI/CD, testing, and observability.

Culture & Benefits

  • Work on mobility products used by more than 200 million customers and 4.5 million driver and courier partners.
  • Work in small, autonomous teams with significant ownership and responsibility.
  • Solve large-scale challenges spanning technology, operations, regulation, and growth.
  • Daily use of AI tools is expected, with accountability for the quality of results.
  • Inclusive workplace with reasonable accommodations available throughout the hiring process.

Hiring process

  • Apply by completing the online application form.

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