Data Engineer

Lynx Recruitment Ltd
Charing Cross, United Kingdom
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 70K

Job location

Remote
Charing Cross, United Kingdom

Tech stack

Computer Programming
Data Architecture
Data Infrastructure
Data Systems
Relational Databases
Python
Standard Sql
Data Processing
Spark
Microsoft Fabric
PySpark
Data Pipelines
Databricks

Job description

Data Engineer (Permanent) Salary: Up to £70,000 Location: London Victoria (1 day per week onsite, rest remote)

This role does not offer sponsorship

The Role

We are seeking a skilled Data Engineer to join a growing team delivering modern, scalable data solutions. This is a permanent opportunity offering a hybrid model, with one day per week in London Victoria and the remainder working remotely. You will play a key role in designing, building, and optimising data pipelines and platforms, supporting advanced analytics and Business Intelligence initiatives.

Key Responsibilities

  • Design and develop scalable data pipelines and data processing solutions
  • Work with modern data platforms such as Microsoft Fabric, Databricks, or similar technologies
  • Build and optimise data solutions using Python, Spark, PySpark, and/or SQL
  • Collaborate with stakeholders to ensure high-quality, reliable data architecture

Essential Skills & Experience

  • Hands-on experience with Microsoft Fabric, Databricks, or equivalent modern data platforms
  • Strong coding experience in Python and/or Spark/PySpark
  • Solid SQL skills and experience working with structured datasets

Desirable Experience

  • Knowledge of relational database design, normalisation, and data modelling

Requirements

  • Hands-on experience with Microsoft Fabric, Databricks, or equivalent modern data platforms
  • Strong coding experience in Python and/or Spark/PySpark
  • Solid SQL skills and experience working with structured datasets

Desirable Experience

  • Knowledge of relational database design, normalisation, and data modelling

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