Senior Engineer, Data Engineering

Transform
Manchester
2 months ago
Applications closed

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Role: Senior Data Engineer Type: Full time, permanent
WoW: Hybrid, 1 to 2 days per week in the office.

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. 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.

In 2024, Transform acquired Cadence Innova, the UK's leading public sector change consultancy. The result is a fresh kind of partner: together, we're able to deliver change from the very first ideas through to deployment—building on our deep relationships at every level of government.
We're part of the Next 15 group, a multi-national organisation spanning over 25 brands. We combine the financial robustness and breadth of services of a large organisation, with the nimbleness and innovation of a smaller brand.

If you are keen to help us build the workforce of the future, we should talk.

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

Managing quality of own and teams' outputs
Delivering data engineering on a range of complex marketing and research processes
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

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
Ability to lead, and to work well as part of, a team using the agile methodology

Experience of mentoring junior to mid-level Data Engineers would be beneficial

Diversity is our superpower; Holiday entitlement, 28 days with the option to buy/sell up to 5 days
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

At Transform we believe in a culture of inclusivity , we celebrate difference and believe that diversity makes our business more relevant , our work more meaningful and our people more empowered . We're committed to equality of opportunity for all, and we actively seek applications from all ethnicities, orientations, beliefs, gender identities + those with neurodiverse traits and disabilities. Use of AI in CV and Interviews
Whilst we are a technology company and promote using AI the right and ethical way, we value authenticity and transparency in our hiring process. To ensure fairness and accuracy in assessing your skills and experience, we kindly request that you refrain from using AI-assisted tools to generate answers during interviews or enhancing your CV.

Any misrepresentation through AI-generated content may impact our ability to make an informed decision.

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