Data Engineer - Python & Azure
Application Deadline: 6 April 2025
Department: Tech Hub
Employment Type: Full Time
Location: Leeds
Reporting To: Data Engineer Manager
Compensation: Circa £60,000 depending on experience
Description
Contract type: Permanent
Hours: 37.5
Salary: Circa £60,000, depending on experience
Location: Leeds City Centre
WFH policy: Employees are required to attend the office 2 days/week
Travel: You will be required to travel to the London office once a month (this is expensed by the business)
Flexible working: Variety of flexible work patterns subject to line manager discretion e.g. Compressed 9-day fortnight.
Role Summary:
As the Data Engineer, you will own LCCC’s data ecosystems and will work with developers, solution architects, technical BAs, analysts, data scientists, and other SMEs to define the optimum data platform for the business. You will build the required ETL/ELT pipelines for the ingesting, processing and storing of data and ensure data integrity, accuracy, and reliability throughout the data lifecycle.
You will have a specific focus on developing the data inputs that are utilised by the organisation’s internal forecasting model of the GB power markets and operations; designing a framework that scales effectively along with the source data.
Key Responsibilities
* Build and maintain ETL/ELT pipelines to make data accurate and easy to use
* Work to ingest and transform data sets from a variety of data sources including APIs, web scraping, backup databases and third-party services
* Analyze data to identify patterns, anomalies, and structure in preparation for Extract, Transform, and Load (ETL) processes
* Ensure efficient data synchronization and flow between various platforms and systems
* Explore ways to enhance data quality and reliability
* Assist with the establishment of a data culture across the organisation
* Drive better data governance through the creation and embedding of principles and processes e.g. Flow Diagram, Data Dictionary, Data Semantic Layers
* Set service level indicators and monitor execution of data workflows and configure alerts
* Identify data quality issues through data profiling, analysis and stakeholder engagement
Skills Knowledge and Expertise
Essential:
* At least 1 year of data engineering experience - building data platforms and supporting modelling and data analytics
* Hands on experience within the Azure Data ecosystem, with Azure Databricks, Data Factory, Data Lake, and Synapse. Certifications are a plus.
* Strong competence in Python, ideally with PySpark experience
* Strong competence in SQL
* Experience building and maintaining data pipelines
* Experience managing DevOps Pipelines
* Strong experience in process optimisation, performance tuning, data modelling and SQL/database design skills.
Desirable:
* Experience in data architecture
Employee Benefits
As if contributing to and supporting work that makes life better for millions wasn’t rewarding enough, we offer a full range of benefits too. Key benefits that may be available depending on the role include:
* Annual performance based bonus, up to 10%
* 25 days annual leave, plus eight bank holidays
* Up to 8% pension contribution
* Financial support and time off for study relevant to your role, plus a professional membership subscription
* Employee referral scheme (up to £1500), and colleague recognition scheme
* Family friendly policies, including enhanced maternity leave and shared parental leave
* Free, confidential employee assistance, including financial management, family care, mental health, and on-call GP service
* Three paid volunteering days a year
* Season ticket loan and cycle to work schemes
* Family savings on days out and English Heritage, gym discounts, cash back and discounts at selected retailers
* Employee resource groups
#J-18808-Ljbffr