Senior Data Engineer

About us

We’re Transform. Transform is a fresh alternative to Big Consulting. As an end‑to‑end transformation partner, we define, design, build and operate systems that solve our clients’ toughest challenges and seize their biggest opportunities. That often means combining strategy, data, AI, technology, and change management. Sometimes we manage and operate the systems we create; other times, we hand it over for the client to run – standing by to make improvements when things change. It all comes down to making an impact: improving lives, supporting citizens, streamlining workflows, and making the world a better place. We specialise in public sector and public‑facing organisations—from government agencies and local authorities to energy, utilities, transportation and healthcare. We also work for some of the world’s most dynamic brands across automotive, retail, financial services and consumer goods.

The Role

The Senior Data Engineer will be responsible for working as part of an Agile delivery squad with other data engineers and senior data engineers, delivering data engineering on a range of data products for use in insight, reporting and analytics including AI. You will work closely with product owners, business analysts, data architects, data analysts, delivery project managers and data scientists.

Key Responsibilities

• 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

Skills, Knowledge and Expertise

• 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

Our Culture

• Being one team; looking out for each other as a team
• The world never stops changing and we’ll never stop learning
• Infinity we’re crazy ambitious, not afraid to fail along the way (it’s just falling with style)
• Integrity is everything; we’re honest with each other and with our clients
• Diversity is our superpower; everyone’s story is different, and we celebrate differences
• We’re all in; we take on tough, complex challenges with lots of moving parts and we’re committed to the work, our clients and each other

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