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# Data Engineer

- **Company:** Hackajob Ltd
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Databases, Information Engineering, Data Warehousing, Distributed Computing Environment, Distributed Systems, Python (Programming Language), NoSQL, SQL Databases, Apache Spark, Kubernetes, Machine Learning Operations, Terraform, Data Pipelines, Databricks, Web Api
- **Published:** August 24, 2026
- **Apply:** https://www.totaljobs.com/job/data-engineer/hackajob-ltd-job107890323

## About the Role

You don't need experience with electric vehicles (we can teach you that!), but having worked in similar environments might be a bonus.

 * First and foremost, a passion for decarbonisation
 * Ability to work with ambiguity and own problems end-to-end
 * A passion for writing high quality code and building lean processes
 * Experience with distributed data processing
 * Experience with monitoring, testing, and data quality
 * Experience building robust pipelines from diverse sources e.g. parquet, SQL & no-SQL databases, API endpoints
 * It would be helpful to have experience/expertise/knowledge in the following:
 * Python
 * AWS
 * Kubernetes
 * Spark & distributed computing
 * dbt
 * Terraform
 * Data Warehousing (we use Databricks but experience with other platforms is fine)
 * MLOps implementation (desirable but not required)
 * Airflow (or other orchestration tooling)
 * Governance

## Description

This is a fantastic opportunity to work on data problems that genuinely move us closer to Net Zero with a company that is passionate about building great technology to change the way customers travel sustainably.
What you'll do

 * Own and optimise our platform architecture (improve reliability, scalability, maintainability, etc)
 * Build new data sources and data pipelines that deliver key data and insights to the business (this will include integration with third party systems and ingestion through APIs)
 * Scope and deliver new data engineering projects in collaboration with business stakeholders
 * Develop and deploy ML infrastructure to help build out our ever-growing AI requirements and use cases
 * Collaborate closely with our dev teams to build seamless integrations between our back-end databases and our data platform
 * Shape the direction of our growing team and coach team members on best practices


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