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# Senior Data Engineer in Warrington

- **Company:** Energy Jobline
- **Location:** Warrington, PA, United States
- **Experience:** Expert
- **Salary:** $60,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Cloud Database, Information Engineering, Data Governance, Extract Transform Load (ETL), Github, Python (Programming Language), Machine Learning, Power BI, Standard Sql, SQL Databases, Git, Pyspark, Information Technology, Databricks
- **Published:** November 11, 2026
- **Apply:** https://www.energyjobline.com/job/senior-data-engineer-warrington-32213308

## About the Role

Ideally a BSc / MSc in Computer Science (equivalent experience / similar degrees may also suffice)
Databricks experience (ideally 3 years)
Experience with Declarative Automation Bundles and Lakeflow Declarative Pipelines would be beneficial
Python (including pyspark and declarative pipelines)
SQL (especially DBSQL, experience with Databricks- AI functions is a plus)

Databricks Data Engineering Associate / Professional Certifications
git
GitHub (including GitHub Actions)
Star Schema Modelling
Experience using Power BI or providing data for users of Power BI would be helpful in this regard
Preparation of Feature Tables for Machine Learning
Previous mentorship experience or line management would be a plus, but not essentialSalary and Benefits

## Description

As a Senior Data Engineer, you'll join a small, highly collaborative team and play a key role in the development and evolution of the company's cloud-based data platform. You'll be responsible for developing and maintaining ETL pipelines, enhancing their in-house ingestion framework, administering the Databricks platform, and supporting a range of data initiatives across Business Intelligence, Analytics and AI.

This role would suit an experienced Data Engineer with strong Databricks, PySpark/Python and SQL expertise looking to step up in a senior role.

Responsibilities

Development and maintenance of ETL pipelines
Development and maintenance of our in-house ingestion framework
Administration of the Databricks platform including data governance
Supporting the Business Intelligence team in report development
Supporting the wider business' data needs, including the AI lab and various other group functionsKey Skills & Qualifications