Data Engineer - Healthcare, Ref: 011

Data Engineer – Healthcare, Ref: 011

Role Type

Data Engineer

Skills / Experience

ETL, Python, PySpark, Databricks, AWS

Availability

3 months notice

Contract Preference

Permanent

Salary / Rate Expectation

£65k

Profile

A highly skilled Senior Data Engineer with extensive experience in delivering and improving ETL pipeline projects, predominantly using Python, PySpark, and Databricks on AWS. Known for a strong problem-solving ability and keen attention to detail, with a passion for developing efficient and scalable solutions. Adept at working in Agile teams and collaborating across departments to meet complex project deadlines and financial constraints.

Technical Proficiency:

Programming Languages: Python, T-SQL, VBA, C#, Java, C/C++, R
Tools & Platforms: AWS, Databricks, Visual Studio Code, Git, Docker, Ubuntu/Linux
Software: Microsoft Office, Adobe Photoshop, and Premiere

Experience

Senior Data Engineer (March 2024 – Current) – Digital Health Sector

Leading ETL pipeline transformation projects using Python and PySpark on the Databricks platform, deploying to AWS clusters.
Working across the organisation with a variety of stakeholders to deliver complex projects with strict financial constraints and timelines.
Investing time into improving the Data Engineering function and developing best practices.

Data Engineer (January 2022 – February 2024) – Digital Health Sector

Delivering ETL pipelines using Python and PySpark on the Databricks platform, deploying to AWS clusters, with a focus on test-based development.
Working agile with multi-disciplinary teams and different specialties across the organisation.
Developing using the Databricks IDE, Visual Studio Code, PyCharm, Git, Ubuntu, and Docker.

Associate Data Engineer (July 2019 – January 2022) – Digital Health Sector

Developing ETL pipelines with an emphasis on leading projects in Agile environments and gathering customer requirements.
Contributing to the COVID-19 Shielded Patients List, impacting millions of people nationwide.
Mentoring apprentices and new starters and assessing graduates and interns.

Junior Data Engineer (December 2017 – June 2019) – Digital Health Sector

Worked on the full life cycle of data engineering and data management, from asset & process development to delivery of data products.
Developed data warehouses and data pipelines in an agile framework using SQL Server, SSIS, JIRA, and TeamCity.

Financial Projects Data Analyst (June 2017 – September 2017) – Retail Sector

Undertook data exploration and investigation for a Supplier Portal project team.
Built a reference database of suppliers, using data from various AP systems and business rules.
Supported projects with ad-hoc data requests and VBA advice.

Supply Chain Data Engineer (February 2015 – May 2017) – Food Manufacturing Sector

Built VBA solutions for data acquisition, management, and analysis using Microsoft Office tools.
Developed complex Excel spreadsheets for reporting strategic KPIs.
Completed 20+ automation projects that reduced work hours and increased efficiency.

Data Analyst (April 2014 – August 2014) – Medical Sector

Analysed medical and work records to write reports for legal proceedings.
Coordinated caseloads and worked to improve report writing accuracy and quality.

For further information on this candidate please use reference number: 011

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