Bolt Technology

Technology

SeniorSoftwareEngineer,DataPlatformInsights

$240–360k ~AI est. Warsaw, Masovian Voivodeship, Poland Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Engineer, Data Platform Insights at Bolt Technology. Skills: Data Platform, Data Products, Infrastructure, Frameworks. Build and evolve platform. Manage high-quality data products”

Industry & Context.

Technology
Problems you'll solve

Detect pipeline failures; Surface areas for improvement

Eligibility Requirements

Minimum 2 days in office

What They're Looking For.

Must Have

5 years software engineering experience, Hands-on experience with large-scale distributed data systems, Proficient in Python or another mainstream OOP language, Familiar with modern data stack, Excellent communication skills, Fluent in spoken and written English, Comfortable collaborating with technical and non-technical colleagues, Understand modern CI/CD practices, Value automation, testing, and observability, Driven by customer success, Track record of leading and delivering complex, cross-team projects

Nice to Have

Experience with Apache Spark, Experience with Databricks, Experience with Airflow, Experience with Delta Lake, Experience with equivalents to dbt, Databricks, Airflow, Delta Lake

What You'll Do.

Build and evolve platform

Manage high-quality data products

Power decisions at scale

Own infrastructure and frameworks

Streamline development

Streamline maintenance

Turn petabytes of data into models

Turn petabytes of data into metrics

Provide tools for dashboards

Provide tools for data applications

Provide tools for chatting with data

Work with data producers

Work with data consumers

Understand customer needs

Understand customer challenges

Seek continuous improvements

Drive complex projects

Own and evolve foundational infrastructure

Own and evolve foundational frameworks

Support building dbt on Databricks

Support testing dbt on Databricks

Support deploying dbt on Databricks

Ensure customer success

Help data practitioners use platform

Keep Databricks jobs reliable

Keep Databricks jobs observable

Keep Databricks jobs cost-efficient

Detect pipeline failures

Surface areas for improvement

Keep Looker running smoothly

Serve queries over petabytes of data

Enable new ways to use data

Build CI/CD workflows

Validate data products

Deploy data products reliably

How You'll Work.

Team & Collaboration

Cross-team projects; Technical colleagues; Non-technical colleagues

Communication Scope

Communication skills; Spoken English; Written English

Process & Methodology

Lead complex projects, Deliver complex projects

Full Job Description

We’re looking for a Senior Software Engineer to join Bolt’s Data Platform Insights team. You’ll build and evolve the platform that helps Bolt teams create and manage high-quality data products — making data reliable and accessible, to power decisions at massive scale. About us With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people. We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability. Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission! About the role Engineers in the Insights team play a key role in shaping Bolt’s data ecosystem. You will own the infrastructure and frameworks that streamline development, testing, and maintenance of data products - turning petabytes of data into reusable models and metrics. Teams across the organisation will create dashboards, custom data applications, and chat with data using the tools you will provide. In this role, you will work closely with the data producers and consumers to understand their needs and challenges, continuously seeking improvements, and driving complex projects from idea to completion. We work with a wide range of technologies - Python libraries and CLIs; dbt for data modelling, workflows orchestration and execution with Airflow and Databricks; infrastructure with Terraform, AWS, and Kubernetes Main tasks and responsibilities: Own and evolve the foundational infrastructure and frameworks that support building, testing, and deploying dbt on Databricks, with 3,500+ dbt models. Ensure customer success by helping data practitioners use the platform effectively and in a self-service manner. Keep 800+ daily Databricks jobs reliable, observable, and cost-efficient with an observability layer that detects pipeline failures and surfaces area

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