Job description

Data Engineer Hybrid London

My client is a growing company based in London looking for mid-level to senior Data Engineer

You must be based in UK and have a valid visa to work in UK

As the Data Engineer, you will build the required ETL/ELT pipelines for the collection, preparation and storage of data in a form that is optimised, secure and reliable. You will have a specific focus on developing the data inputs that are utilised by the organisation’s internal forecasting model; designing a framework that scales effectively along with the source data.

Data Engineer Skills

• Design data infrastructure to support modelling and data analytics
• 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
• 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. Logical Data Model & Flow Diagram, Data Dictionary, Data Semantic Layers
• Set service level indicators and monitor execution of data workflows and configure alerts
• Apply dimensional data modelling concepts and practices to develop conceptual, logical and physical data models to support insight delivery
• Identify data quality issues through data profiling, analysis and stakeholder engagement
• At least 2 years of designing data infrastructure to support modelling and data analytics
• Experience building, modelling, and maintaining data pipelines
• Strong experience in SQL optimisation, performance tuning, data modelling and SQL/database design skills.
• Hands on experience within the Azure Data ecosystem, with Azure Databricks, Data Factory, Data Lake, and Synapse. Certifications are a plus.

Highly Desirable

• Strong competence in Python or Scala, ideally PySpark experience

Interested or for more information please send CV

Job Types: Full-time, Permanent

Salary: £50,000.00-£70,000.00 per year

Benefits:

• Flexitime
• Life insurance
• Work from home

Schedule:

• Flexitime
• Monday to Friday

Supplemental pay types:

• Bonus scheme

Ability to commute/relocate:

• London: reliably commute or plan to relocate before starting work (required)

Experience:

• data engineer: 2 years (preferred)

Work authorisation:

• United Kingdom (preferred)

Work Location: Hybrid remote in London

Reference ID: zi-hl-de