Home › Companies › Ceox › Data Engineer
Data Engineer
Ceox · Remote · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Ceox |
| Title | Data Engineer |
| Normalized title | - |
| Department / team | - |
| Location | Guildford, Surrey, United Kingdom |
| Work model | Remote / Remote |
| Employment type | Contract |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-05-28 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Ceox. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Guildford. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Ceox |
| Source | 327e4341-972e-4a9b-89fc-ed7b49681a53 |
| ATS provider | BambooHR |
Description
Data Engineer (Azure | Databricks | PySpark | SQL)
Contract | Remote | UK Public Sector Project
Overview
We are seeking a Data Engineer to support delivery of key data components within our evolving data ecosystem . This role will work closely with architects, analysts, engineers , and wider delivery teams to implement pipeline builds, data models, and integration patterns aligned to the organisation’s new Target Operating Model for Data .
You will contribute to the development of scalable data flows , optimise ingestion & transformation activities, and ensure solutions meet technical standards, performance expectations, and security controls . This is a hands-on engineering role ideal for someone who enjoys building, shaping, and improving modern data platforms .
Who We’re Looking For
A highly capable Data Engineer with hands-on experience building ETL pipelines , implementing Data Lake architectures , and working across Azure platform services . You will need strong problem-solving ability , a solid engineering mindset , and the ability to work collaboratively within a multi-disciplinary team .
If you’re confident writing production-grade code , applying design patterns , and building scalable, high-performing data products , this role offers technical autonomy, ownership, and challenge .
Key Responsibilities
Build and maintain ETL pipelines and code in cloud data platforms.
Support ingestion activity and onboarding of new data sources.
Work with the Databricks Data Intelligence Platform and
develop
Data Engineering workloads.
Construct raw, refined and curated data layers; catalogue assets appropriately.
Validate solutions against functional and non-functional requirements.
Deliver datasets , transformations and performance-optimised data products.
Improve processes, engineering patterns, and reusable tooling.
Monitor and measure pipeline performance; support incident resolution.
Ensure documentation meets acceptance standards and is approved centrally.
Actively engage in Agile ceremonies and governance forums.
Mandatory Requirements
Strong experience with Python, PySpark & SQL for data engineering .
Hands-on experience with Azure Databricks .
Strong knowledge of Azure Data Factory & Fabric .
Experience with Microsoft Purview .
Familiarity with Event-driven data ingestion (Event Grid / Pub-Sub) .
Understanding of SOLID principles , Async programming, Mediator/Factory patterns.
Experience delivering unit + integration testing in Databricks .
Knowledge of Secure ETL design with Entra IMID/SCIM integration.
Understanding of Azure best practice, APIM, and platform governance .
Ability to build and serve Power BI models via Databricks data sources .
Desirable
Prior experience working within UK Public Sector environments .
Soft Skills
Strong stakeholder communication and cross-team collaboration.
Analytical and solution-focused mindset.
Able to work independently, take ownership and drive progress.
Commitment to clean, scalable, well-documented engineering.
Adaptable, proactive, and comfortable working in dynamic delivery environments.
Contract Details
Contract Type: Freelance / Contract - Outside IR35
Location: Remote (UK-based candidates preferred)
Start Date: ASAP
Clearance: Candidates must be eligible to work with UK Government departments / BPSS.
Full job record
| Job ID | a34a17c0bfa9d30cd3d452331db4ce587ca2b589 |
| Org ID | 4ad050f3-d2cf-4f33-b1b3-16fce13d3911 |
| Source ID | 327e4341-972e-4a9b-89fc-ed7b49681a53 |
| Board ID | 327e4341-972e-4a9b-89fc-ed7b49681a53 |
| Provider | bamboohr |
| Provider Job Key | 77 |
| Title | Data Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | — |
| Department | — |
| Team | — |
| Employment Type | contract |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United Kingdom |
| Region | Surrey |
| City | Guildford |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://ceox.bamboohr.com/careers/77 |
| Apply URL | https://ceox.bamboohr.com/careers/77 |
| First Seen At | 2026-05-30 05:46:10Z |
| Last Seen At | 2026-06-06 10:21:20Z |
| Last Checked At | 2026-06-06 10:21:20Z |
| Last Changed At | 2026-05-30 05:46:10Z |
| Inactive At | — |
| Source Posted At | 2026-05-28 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=ceox/date=2026-06-06/2026-06-06T10-21-18-712Z-69dc38c43aaf015a68531435d40b6d04f1657e353106b84e13a57dc1f92c29ec.json |
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"description": "<p><span style=\"font-weight: bold\">Data Engineer </span>(Azure | Databricks | PySpark | SQL)</p>\n<p>Contract | Remote | UK Public Sector Project</p>\n<p><br></p>\n<p><span style=\"text-decoration: underline\"><span style=\"font-weight: bold\">Overview</span></span></p>\n<p>We are seeking a <span style=\"font-weight: bold\">Data Engineer</span> to support delivery of <span style=\"font-weight: bold\">key data components</span> within our evolving <span style=\"font-weight: bold\">data ecosystem</span>. This role will work closely with <span style=\"font-weight: bold\">architects, analysts, engineers</span>, and wider delivery teams to implement <span style=\"font-weight: bold\">pipeline builds, data models, and integration patterns</span> aligned to the organisation’s new <span style=\"font-weight: bold\">Target Operating Model for Data</span>.</p>\n<p>You will contribute to the development of <span style=\"font-weight: bold\">scalable data flows</span>, optimise <span style=\"font-weight: bold\">ingestion & transformation</span> activities, and ensure solutions meet <span style=\"font-weight: bold\">technical standards, performance expectations, and security controls</span>. This is a <span style=\"font-weight: bold\">hands-on engineering role</span> ideal for someone who enjoys <span style=\"font-weight: bold\">building, shaping, and improving modern data platforms</span>.</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Who We’re Looking For</span></p>\n<p>A highly capable <span style=\"font-weight: bold\">Data Engineer</span> with hands-on experience building <span style=\"font-weight: bold\">ETL pipelines</span>, implementing <span style=\"font-weight: bold\">Data Lake architectures</span>, and working across <span style=\"font-weight: bold\">Azure platform services</span>. You will need strong <span style=\"font-weight: bold\">problem-solving ability</span>, a <span style=\"font-weight: bold\">solid engineering mindset</span>, and the ability to work <span style=\"font-weight: bold\">collaboratively within a multi-disciplinary team</span>.</p>\n<p>If you’re confident writing <span style=\"font-weight: bold\">production-grade code</span>, applying <span style=\"font-weight: bold\">design patterns</span>, and building <span style=\"font-weight: bold\">scalable, high-performing data products</span>, this role offers <span style=\"font-weight: bold\">technical autonomy, ownership, and challenge</span>.<br></p>\n<p><br></p>\n<p><span style=\"text-decoration: underline\"><span style=\"font-weight: bold\">Key Responsibilities</span></span></p>\n<ul>\n<li>Build and maintain <span style=\"font-weight: bold\">ETL pipelines and code</span> in cloud data platforms.</li>\n<li>Support ingestion activity and onboarding of new data sources.</li>\n<li>Work with the <span style=\"font-weight: bold\">Databricks Data Intelligence Platform </span>and<br>develop<br>Data Engineering workloads.</li>\n<li>Construct raw, refined and curated data layers; catalogue assets appropriately.</li>\n<li>Validate solutions against functional and non-functional requirements.</li>\n<li>Deliver <span style=\"font-weight: bold\">datasets</span>, transformations and performance-optimised data products.</li>\n<li>Improve processes, engineering patterns, and reusable tooling.</li>\n<li>Monitor and measure pipeline performance; support incident resolution.</li>\n<li>Ensure documentation meets acceptance standards and is approved centrally.</li>\n<li>Actively engage in Agile ceremonies and governance forums.</li>\n</ul>\n<p><br></p>\n<p><span style=\"text-decoration: underline\"><span style=\"font-weight: bold\">Mandatory Requirements</span></span></p>\n<ul>\n<li>Strong experience with <span style=\"font-weight: bold\">Python, PySpark & SQL for data engineering</span>.</li>\n<li>Hands-on experience with <span style=\"font-weight: bold\">Azure Databricks</span>.</li>\n<li>Strong knowledge of<span style=\"font-weight: bold\"> Azure Data Factory & Fabric</span>.</li>\n<li>Experience with <span style=\"font-weight: bold\">Microsoft Purview</span>.</li>\n<li>Familiarity with <span style=\"font-weight: bold\">Event-driven data ingestion (Event Grid / Pub-Sub)</span>.</li>\n<li>Understanding of <span style=\"font-weight: bold\">SOLID principles</span>, Async programming, Mediator/Factory patterns.</li>\n<li>Experience delivering <span style=\"font-weight: bold\">unit + integration testing in Databricks</span>.</li>\n<li>Knowledge of <span style=\"font-weight: bold\">Secure ETL design</span> with Entra IMID/SCIM integration.</li>\n<li>Understanding of <span style=\"font-weight: bold\">Azure best practice, APIM, and platform governance</span>.</li>\n<li>Ability to build and serve <span style=\"font-weight: bold\">Power BI models via Databricks data sources</span>.</li>\n</ul>\n<p><br></p>\n<p><span style=\"text-decoration: underline\"><span style=\"font-weight: bold\">Desirable</span></span></p>\n<ul>\n<li>Prior experience working within <span style=\"font-weight: bold\">UK Public Sector environments</span>.</li>\n</ul>\n<p><br></p>\n<p><span style=\"text-decoration: underline\"><span style=\"font-weight: bold\">Soft Skills</span></span></p>\n<ul>\n<li>Strong stakeholder communication and cross-team collaboration.</li>\n<li>Analytical and solution-focused mindset.</li>\n<li>Able to work independently, take ownership and drive progress.</li>\n<li>Commitment to clean, scalable, well-documented engineering.</li>\n<li>Adaptable, proactive, and comfortable working in dynamic delivery environments.</li>\n</ul>\n<p><br></p>\n<p><span style=\"text-decoration: underline\"><span style=\"font-weight: bold\">Contract Details</span></span></p>\n<ul>\n<li><span style=\"font-weight: bold\">Contract Type:</span> Freelance / Contract - Outside IR35</li>\n<li><span style=\"font-weight: bold\">Location:</span> Remote (UK-based candidates preferred)</li>\n<li><span style=\"font-weight: bold\">Start Date:</span> ASAP</li>\n<li><span style=\"font-weight: bold\">Clearance:</span> Candidates must be eligible to work with UK Government departments / BPSS.</li>\n</ul>\n<p> </p>",
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