Senior Data Engineer

🕒 October 15, 2025

🏢🏡 London – Hybrid

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Transform

WebsiteLinkedInAll Job Openings

201 - 500 employees

Consulting • Technology • Data

Transform is a tech and data consultancy that focuses on creating competitive advantage and social impact for both public and private organizations. They offer a cross-discipline approach that emphasizes strategy, research and service design, technology, data, and change delivery. Transform aims to drive growth, generate user insights, create remarkable experiences, and accelerate change by delivering startling and ambitious outcomes. They pride themselves on an inclusive, high-performance culture and a commitment to making a positive impact on people's lives, optimizing services, and supporting clients in digital transformation projects.

📋 Description

• Managing quality of own and teams’ outputs • Delivering data engineering on a range of complex marketing and research processes • Working with clients to understand needs, and best implement that with our available technology solutions • Working with a range of data sources such as CRM, sales, research and HR data. • Building Single Customer Views, CDPs or Data Warehouses/Data Lakes to merge disparate data sets for marketing or sales activation • Building and configuring data ingestion methods from APIs, flat files, streaming, public data sources and survey data

🎯 Requirements

• Must have experience of using Azure Databricks and Medallion architecture • Expert experience with Azure Data Factory or Python/Airflow and a range of associated libraries for data processing and manipulation • Experience with a range of database technologies including data lakes such as Azure SQL, SQL Server, Azure Data Lake, PostgreSQL, Snowflake, MySQL, Cosmos DB or Mongo DB • Understanding of Azure DevOps and CI/CD processes • Knowledge of data warehouse or data lakes with SCVs or in conjunction with CDP platforms • Knowledge of data ingestion of streaming data using Databricks and Pyspark • Understanding and application of statistical methods • Ability to lead, and to work well as part of, a team using the agile methodology • **Desirable Skills:** • Palantir Foundry (Pipeline Builder) experience • Knowledge of ELT/ETL tools such as Informatica DEI/BDM and Talend would be beneficial • Experience of mentoring junior to mid-level Data Engineers would be beneficial

🏖️ Benefits

• Holiday entitlement, 28 days with the option to buy/sell up to 5 days • Day off (on or in the week of) your birthday • Pension eligibility, up to 5% matched contributions • Private healthcare • Life assurance • Enhanced maternity and enhanced paternity and shared parental leave • Cycle to work & electric car schemes • Gym & retail discounts • Regular social events/activities • A range of other benefits from our flexible benefits package