Data Engineer

Borehamwood

Live, first seen by us 50 days ago

Pay: Pay amount needs review — pay source
Compensation £0 - £40,000 / year Employment type
Read the full posting
Work setting: Not stated
Employment: Permanent — employment source
Employment type Permanent - Full Time
Read the full posting

What you’ll work on

Full posting

Design, build and maintain ETL/ELT pipelines that ingest and transform data from multiple sources
Troubleshoot and resolve data quality, integration and performance issues
Identify suitable data storage solutions for new data sources
Contribute to CI/CD processes for deploying data solutions
Develop and maintain technical documentation for architecture and pipelines

From the employer’s posting

Design, build and maintain robust ETL/ELT pipelines to ingest, transform and deliver data from multiple sources.

Troubleshoot and resolve data quality, data integration and performance issues.

Identify optimal data storage solutions for ingesting new data sources.

Contribute to CI/CD processes to support efficient and reliable deployment of data solutions.

Develop and maintain technical documentation relating to data architecture, pipelines and processes.

What you’ll bring

All qualifications

Core experience

At least 1 year in data engineering or a related role
Strong Python programming skills
Strong SQL development and querying skills
Experience running ETL/ELT pipelines in production
Experience with cloud warehousing such as BigQuery

Qualification wording

Minimum 1 year of experience in a Data Engineering or related role.

Strong programming skills in Python.

Strong SQL development and database querying skills.

Experience designing, developing and supporting ETL/ELT pipelines in a production environment.

Experience working with a cloud warehousing eg: BigQuery.

Benefits in the posting

Full benefits wording

Hybrid working
Annual bonus linked to performance
25 days paid holiday per year (excluding bank holidays)
Pension scheme
Healthcare cash plan for all colleagues
Colleague and family discounts on Safestore products and services
Employee Assistance Programme
Enhanced parental leave

From the employer’s posting.

Apply at Safestore Group

Posting record

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Status in our records: Live
First seen by us: Sep 16, 202650 days ago
Recorded sightings: 29
Last seen by us: Nov 4, 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 50

Similar jobs usually come down between day 6 and day 54.

From 11,035 similar postings that came down. Coming down is not always a hire.

Safestore Group is hiring

1 open job

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

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
BigQuery

Where the posting names them

- Minimum 1 year of experience in a Data Engineering or related role. - Strong programming skills in Python. - Strong SQL development and database querying skills.

- Strong programming skills in Python. - Strong SQL development and database querying skills. - Experience designing, developing and supporting ETL/ELT pipelines in a production environment.

- Experience designing, developing and supporting ETL/ELT pipelines in a production environment. - Experience working with a cloud warehousing eg: BigQuery. - Understanding of data modelling principles and database design.

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Your next step

Complete your application on jobs.safestore.co.uk. The employer’s form will show what is required.

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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.

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 ↗

Safestore are searching for a Data Engineer, responsible for designing, building and maintaining databases and scalable ELT/ETL pipelines to support business reporting, analytics and decision-making. This is an exciting opportunity to work with a quickly modernising data stack supporting multiple branches of our business operations.

The postholder will develop and maintain data pipelines, integrate data from multiple sources, and support the continuous improvement of the organisation's data infrastructure. This role requires a proactive and analytical individual who enjoys solving complex problems, working collaboratively and driving best practice in data engineering and DataOps.

Key Responsibilities / Accountabilities

Design, build and maintain robust ETL/ELT pipelines to ingest, transform and deliver data from multiple sources.
Troubleshoot and resolve data quality, data integration and performance issues.
Identify optimal data storage solutions for ingesting new data sources.
Ensure data solutions comply with organisational security, governance and compliance requirements.
Utilise version control and DataOps best practices, including source control, code reviews, testing and deployment automation.
Contribute to CI/CD processes to support efficient and reliable deployment of data solutions.
Develop and maintain technical documentation relating to data architecture, pipelines and processes.
Collaborate and pair-code with data engineers and data scientists.

Experience and Skills Required

Minimum 1 year of experience in a Data Engineering or related role.
Strong programming skills in Python.
Strong SQL development and database querying skills.
Experience designing, developing and supporting ETL/ELT pipelines in a production environment.
Experience working with a cloud warehousing eg: BigQuery.
Understanding of data modelling principles and database design.
Experience with DataOps practices, including version control in GitHub.
Experience working with CI/CD pipelines.
Familiarity with workflow orchestration tools.
Strong analytical and problem-solving skills with excellent attention to detail.
Excellent communication and stakeholder management skills.

Benefits

Hybrid working
Annual bonus linked to performance
Attractive sharesave scheme (which, to date, has delivered great returns for our colleagues)
25 days paid holiday per year (excluding bank holidays)
Pension scheme
Healthcare cash plan for all colleagues
Wellbeing initiatives such as discounted gym membership and a cycle to work scheme
Colleague and family discounts on Safestore products and services
Employee Assistance Programme
Enhanced parental leave

Compensation

£0 - £40,000 / year

Employment type

Permanent - Full Time

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