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Data Engineer (12 Month Fixed-Term Contract)

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Department: Digital Intelligence Solutions Salary: National (Edinburgh and Leeds) ranging from £43,100 to £61,000 and London from £47,300 to £67,000 per annum (salary offered will be based on skills and experience) This role is graded as: Associate Level 8 - Regulatory
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Work setting
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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Benefits in the posting

Full benefits wording
  • 25 days annual leave plus bank holidays
  • Non-contributory pension (8–12% depending on age) and life assurance at eight times your salary
  • Private healthcare with Bupa, income protection, and 24/7 Employee Assistance
  • A flexible benefits scheme designed around your lifestyle
  • Our values & culture
  • Useful information and timeline

From the employer’s posting.

About Fca

We regulate financial services firms in the UK, to keep financial markets fair, thriving and effective.

In the employer’s words · Read in context

Apply at Fca

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 7, 2026today
Recorded sightings
1
Employer says posted
Nov 5, 2026

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 6 and day 54.

At Fca, jobs usually come down by about day 12.

From 11,508 similar postings that came down, and 10 of Fca’s. Coming down is not always a hire.

Fca is hiring

1 open job

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

  • Hiring at a steady pace
  • Takes jobs down quickly
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
  • Tableau
Where the posting names them
- Strong practical experience of Tableau Prep, including designing, building, testing, maintaining and troubleshooting complex Prep flows; integrating multiple data sources; applying joins, unions, transformations and calculations; and improving the performance, reliability and maintainability of existing flows. - Extensive experience of extract, transform and load (ETL) processes, with strong programming and database skills, particularly in SQL and Python. Essential
- Prior experience of working in teams that design, develop, test and implement data solutions in complex environments, including integrating data from multiple source systems. - Strong practical experience of Tableau Prep, including designing, building, testing, maintaining and troubleshooting complex Prep flows; integrating multiple data sources; applying joins, unions, transformations and calculations; and improving the performance, reliability and maintainability of existing flows. - Extensive experience of extract, transform and load (ETL) processes, with strong programming and database skills, particularly in SQL and Python.

Your next step

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Already applied? Track this application

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,079.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

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 ↗

Job Title: Data Engineer (12 Month Fixed Term Contract) 

 

Division: Data, Technology and Innovation (DTI) 

Department: Digital Intelligence Solutions 

 

  • Salary: National (Edinburgh and Leeds) ranging from £43,100 to £61,000 and London from £47,300 to £67,000 per annum (salary offered will be based on skills and experience) 
  • This role is graded as: Associate Level 8 - Regulatory 
  • Applications must be submitted through our online portal. Applications sent via social media or email will not be accepted. 

  

 About the FCA and team  

  

We regulate financial services firms in the UK, to keep financial markets fair, thriving and effective. By joining us, you’ll play a key part in protecting consumers, driving economic growth, and shaping the future of UK finance services.  

 

The Data, Technology and Innovation (DTI) division enables the FCA to be a digital-first, data-led smart regulator by delivering a secure, agile, and cost-effective technology and data ecosystem that drives better decisions, transparency, and operational efficiency. 

 

Sitting within DTI, the Digital Intelligence department (DIS) delivers the Digital Unified Intelligence Environment (DUIE), which surfaces actionable insights through tools, dashboards and bespoke analysis. Within DIS, the Single View team delivers regulatory insights that help supervisors carry out case assessments, while also evaluating the quality and effectiveness of those insights. 

 

Role responsibilities 

 

  • Design and implement robust data flows that connect operational systems with analytics and business intelligence platforms, ensuring trusted and accessible data across the organisation 
  • Create and maintain source-to-target mapping documentation aligned to enterprise data models, governance frameworks and data standards 
  • Transform manual and fragmented data processes into scalable, automated solutions that improve efficiency, consistency and long-term reuse 
  • Support the development of real-time and near real-time data streaming solutions that enable timely insights and data-driven decision making 
  • Develop, optimise and maintain ETL pipelines and code to ensure high performance, reliability and data quality across complex data environments 
  • Prepare, cleanse and wrangle large and varied datasets for analytical models, enabling accurate reporting, advanced analytics and business insight 

 

Skills required  

Minimum: 

 

  • Prior experience of working in teams that design, develop, test and implement data solutions in complex environments, including integrating data from multiple source systems. 
  • Strong practical experience of Tableau Prep, including designing, building, testing, maintaining and troubleshooting complex Prep flows; integrating multiple data sources; applying joins, unions, transformations and calculations; and improving the performance, reliability and maintainability of existing flows. 
  • Extensive experience of extract, transform and load (ETL) processes, with strong programming and database skills, particularly in SQL and Python. 

 

Essential 

 

  • Experience of data profiling and source system analysis, with the ability to identify data issues, synthesise findings and provide clear insights to support the effective use of data. 
  • Experience designing, building and testing data products and integration solutions using feeds from multiple systems, storage technologies and access methods, creating solutions that are repeatable, reusable, robust and scalable. 
  • Strong understanding of data modelling principles, with experience producing, documenting, maintaining and updating data models for analytical and organisational needs, including reverse engineering models from live systems where required. 
  • Experience working with metadata repositories to support activities such as data and systems integration, impact analysis and the maintenance of accurate and up-to-date metadata. 
  • Knowledge and practical experience of data quality and problem resolution, testing practices, programming and scripting, and relevant data engineering concepts and techniques. 
  • Ability to communicate effectively with technical and non-technical stakeholders, translating complex technical and data concepts into clear and accessible language appropriate for internal and external audiences. 
  • Awareness of opportunities to improve and innovate data solutions through new tools, technologies and approaches, with the ability to consider maintainability, scalability and future needs. 

 

Benefits 

  

  • 25 days annual leave plus bank holidays 
  • Colleagues spend a minimum of 50% of their working time in the office each month (60% for Directors and Executive Directors) across our London, Leeds and Edinburgh offices 
  • Non-contributory pension (8–12% depending on age) and life assurance at eight times your salary 
  • Private healthcare with Bupa, income protection, and 24/7 Employee Assistance 
  • 35 hours of paid volunteering annually 
  • A flexible benefits scheme designed around your lifestyle 

  

For a full list of our benefits, and our recruitment process as a whole visit our benefits page. 

  

Our values & culture  

  

Our colleagues are the key to our success as a regulator. We are committed to fostering a diverse and inclusive culture: one that’s free from discrimination and bias, celebrates difference, and supports colleagues to deliver at their best. We believe that our differences and similarities enable us to be a better organisation – one that makes better decisions, drives innovation, and delivers better regulation. 

  

If you require any adjustments due to a disability or condition, your recruiter is here to help - reach out for tailored support. 

  

We welcome diverse working styles and aim to find flexible solutions that suit both the role and individual needs, including options like part-time and job sharing where applicable. 

  

Disability Confident: our hiring approach  

 

We’re proud to be a Disability Confident Employer, and therefore, people or individuals with disabilities and long-term conditions who best meet the minimum criteria for a role will go through to the next stage of the recruitment process. In cases of high application volumes, we may progress applicants whose experience most closely matches the role’s key requirements. 

  

Useful information and timeline 

  

  • Advert Closing: 11th November at 11:59pm 
  • CV Review/Shortlist:  13th November  
  • First Stage Interviews W/C: 23rd November  
  • Your Recruiter will discuss the process in detail with you during screening for the role, therefore, please make them aware if you are going to be unavailable for any date during this time.   

 

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Pay
Department: Digital Intelligence Solutions Salary: National (Edinburgh and Leeds) ranging from £43,100 to £61,000 and London from £47,300 to £67,000 per annum (salary offered will be based on skills and experience) This role is graded as: Associate Level 8 - Regulatory
Location & working pattern

London

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