Senior Data Engineer in Warrington

Energy Jobline
Warrington, PA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$60,000
Working hours
Regular working hours

Tech stack

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
+4 more
Git Pyspark Information Technology Databricks

Job 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

Requirements

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

Benefits & conditions

£60,000 base salary £4,900 car allowance or equivalent company car Up to 12% annual bonus Private healthcare Discount scheme Hybrid Working from either York, Birmingham or Warrington office

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