Senior Data Engineer

Overview

Senior Data Engineer – Contract london (2 days onsite) £500/day (Likely Outside IR35) 3 months initially Bright Purple is delighted to be working with an exciting, product-focused consultancy delivering some of the UK’s most high-profile and widely used consumer applications. Their client list features some of the biggest names in tech and beyond. We’re seeking an experienced Senior Data Engineer to join their growing Data Practice on a 3-month engagement, helping shape and deliver scalable, cloud-native data solutions for household-name clients. What you’ll be doing Designing, building and maintaining robust data pipelines Automating and orchestrating workflows (AWS Glue, Azure Data Factory, GCP Dataflow) Working across leading cloud platforms (AWS, Azure, or GCP) Implementing and optimising modern data architectures (e.g. Databricks, Snowflake) Collaborating with multidisciplinary teams to deliver real business value What we’re looking for Strong experience with Python, SQL, and pipeline tools such as dbt or Airflow Proven background in data modelling, warehousing, and performance optimisation Hands-on experience with cloud data services (Glue, Lambda, Synapse, BigQuery, etc.) A consultancy mindset – adaptable, collaborative, and delivery-focused Apply now or contact Bright Purple to find out more about this opportunity with one of the UK’s most dynamic digital consultancies. Bright Purple is proud to be an equal opportunities employer. We partner with clients who value and actively promote diversity and inclusion across the technology sector.

Responsibilities

• Design robust data pipelines and maintain their efficiency.
• Automate and orchestrate workflows using tools like AWS Glue and Azure Data Factory.
• Implement and optimize modern data architectures, including Databricks and Snowflake.
• Work across various leading cloud platforms such as AWS, Azure, or GCP.
• Collaborate with teams to deliver impactful data solutions.

Requirements

• Strong experience with Python and SQL.
• Proficiency with pipeline tools such as dbt or Airflow.
• Experience in data modeling, warehousing, and performance optimization.
• Hands-on expertise in cloud data services including Glue, Lambda, Synapse, and BigQuery.
• Demonstrated adaptability and collaboration skills suitable for a consultancy environment.