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Data Engineer

Pay
Pay not listed
Work setting
Hybrid — work setting source
Work setup in the employer’s posting: Hybrid
From the employer’s posting
Employment
Permanent — employment source
Employment type Permanent - Full Time
Read the full posting

What you’ll work on

Full posting
  • Build and maintain data pipelines, transformations, and supporting processes

  • Implement business logic and data models to meet agreed requirements

  • Contribute to code reviews, testing, deployment, and operational support

  • Diagnose and resolve data quality and pipeline issues

  • Document solutions and contribute to shared engineering standards

From the employer’s posting
Build and maintain data pipelines, transformations, and supporting processes
Implement business logic and data models to meet agreed requirements
Contribute to code reviews, testing, deployment, and operational support
Diagnose and resolve data quality and pipeline issues
Document solutions and contribute to shared engineering standards

What you’ll bring

All qualifications

Core experience

  • Strong SQL and Python skills
  • Experience working with production data pipelines and modern data tooling
  • Good understanding of data modelling, data warehousing, and data quality principles
  • Familiarity with at least one cloud platform such as Azure or AWS
  • Working knowledge of CI/CD, version control, and testing practices
Qualification wording
Strong SQL and Python skills
Experience working with production data pipelines and modern data tooling
Good understanding of data modelling, data warehousing, and data quality principles
Familiarity with at least one cloud platform such as Azure or AWS
Working knowledge of CI/CD, version control, and testing practices

About Transform

Transform is a fresh alternative to Big Consulting.

In the employer’s words · Read in context

Apply at Transform

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 4, 2026today
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Transform is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • Databricks
  • dbt
  • Airflow
Where the posting names them
Skills, Knowledge & Expertise - Strong SQL and Python skills - Experience working with production data pipelines and modern data tooling
- Good understanding of data modelling, data warehousing, and data quality principles - Familiarity with at least one cloud platform such as Azure or AWS - Working knowledge of CI/CD, version control, and testing practices
Desirable Skills: - Experience with tools such as Databricks, Data Factory, Fabric, Airflow, DBT, or equivalent - Experience working with structured and semi-structured data sources

Your next step

Complete your application on transformuk.pinpointhq.com. The employer’s form will show what is required.

Applying through Pinpoint

  • Only .pdf and .docx are accepted. Older .doc files are turned away.

Already applied? Track this application

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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. We work closely (often on site) with our clients; to deliver impact you are keen to help us build the workforce of the future, we should talk.

We’re all in! That's what gets us out of bed every day. We hope you feel the same. 

The Role: Data Engineer

The Data Engineer is responsible for building, maintaining, and improving reliable data solutions within an agile delivery team. You will develop data pipelines and transformations that support business intelligence, reporting, analytics, and emerging AI-driven use cases.

Working closely with senior engineers, analysts, product owners, and business stakeholders, you will translate requirements into maintainable technical solutions and contribute to the continuous improvement of team delivery standards.

We are looking for individuals who bring a growth mindset and a passion for continuous learning. You will be curious about emerging technologies, particularly within the AI and data landscape, and proactive in identifying opportunities to innovate and improve delivery.

Key Responsibilities

  • Build and maintain data pipelines, transformations, and supporting processes
  • Implement business logic and data models to meet agreed requirements
  • Contribute to code reviews, testing, deployment, and operational support
  • Diagnose and resolve data quality and pipeline issues
  • Collaborate effectively within agile, cross-functional delivery teams
  • Document solutions and contribute to shared engineering standards

Skills, Knowledge & Expertise

  • Strong SQL and Python skills
  • Experience working with production data pipelines and modern data tooling
  • Good understanding of data modelling, data warehousing, and data quality principles
  • Familiarity with at least one cloud platform such as Azure or AWS
  • Working knowledge of CI/CD, version control, and testing practices
  • Strong problem-solving and communication skills

Desirable Skills:

  • Experience with tools such as Databricks, Data Factory, Fabric, Airflow, DBT, or equivalent
  • Experience working with structured and semi-structured data sources
  • Understanding of data security, governance, and compliance requirements

Our culture and benefits

Our culture is built on:
  • We raise the bar
  • We look out for each other
  • We embrace our differences
  • We shape a changing world
  • We’re all in
Our benefits include:
  • Holiday entitlement, 28 days with the option to buy/sell up to 5 days (note that 3 days are held for Christmas holidays)
  • 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 schemes
  • Gym & retail discounts 
  • Regular social events/activities
  • A range of other benefits from our flexible benefits package 
At Transform, you can expect meaningful work, with real impact and the space to grow as people as well as a professional.

You’ll work alongside curious, authentic experts who care deeply about doing the right thing, for our clients and for each other with no egos, no blame, and no standing on the sidelines.

We’re all in on creating an environment where people feel supported, included and trusted to do their best work. In return, we ask for curiosity, honesty and a willingness to lean into learning, quality, teamwork, and to making change that truly lasts.

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. We want you to have the best opportunity to show us who you are and what you can do. Please do let us know if you need any adjustments now or at any point in the recruitment process.

If this sounds like you, please get in touch to discuss in more detail.

Use of AI in CV and Interviews

 We value authenticity and transparency in our hiring process. To ensure fairness and accuracy in assessing your skills and experience, we ask that you refrain from using AI-assisted tools to generate answers during the application process or within interviews. 

We are looking for genuine insights into your abilities, experiences, and personality. Any misrepresentation through AI-generated content may impact our ability to make an informed decision. We look forward to getting to know the real you!

Employment type

Permanent - Full Time

Source details

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Pay

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Location & working pattern

London, London, UK

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. We work closely (often on site) with our clients; to deliver impact you are keen to help us build the workforce of the future, we should talk. We’re all in! That's what gets us out of bed every day. We hope you feel the same.
Work authorization
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. We work closely (often on site) with our clients; to deliver impact you are keen to help us build the workforce of the future, we should talk. We’re all in! That's what gets us out of bed every day. We hope you feel the same.

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