data engineer

Trust In SODA

<div>
 
 Are you a Principal Engineer who thrives on building high-scale, external-facing products rather than just internal dashboards?
 
 
 
 
 
 We are partnering with a global leader in scientific software whose enterprise platforms power critical innovations worldwide. They are looking for a
 
 Principal Data Engineer
 
 who brings sharp technical ownership and great energy to a collaborative team.
 
 
 
 
 
 🚀
 
 Role:
 
 Principal Data Platform Engineer
 
 
 📍
 
 Location:
 
 Woking, UK (Hybrid)
 
 
 💼
 
 Sector:
 
 Life Sciences Enterprise SaaS
 
 
 
 
 
 
 The Reality of the Challenge:
 
 
 
 This isn't about managing internal data pipelines for a single company. You will be architecting and scaling a core data platform designed to serve over 200+ enterprise clients simultaneously. We need someone who understands the high stakes of a true commercial SaaS product lifecycle&mdash;where system uptime, rigorous testing, and avoiding outages are everything.
 
 
 
 
 
 🌟 What You&rsquo;ll Do:
 
 <ul>
 <li>
 
 Build for True Scale:
 
 Architect and scale modern data platforms capable of serving 200+ external enterprise clients simultaneously without breaking a sweat.
 </li>
 <li>
 
 Own the Product Lifecycle:
 
 Drive engineering excellence from initial requirements and refinement through to heavy testing and production deployment.
 </li>
 <li>
 
 Drive Team Energy:
 
 Bring a proactive, direct, and high-energy approach to the engineering team&mdash;helping unblock complex architecture challenges and elevating the people around you.
 </li>
 <li>
 
 Bridge Software &amp; Data:
 
 Treat data infrastructure like a world-class software product, ensuring high availability, observability, and seamless performance.
 </li>
 </ul>
 
 
 
 
 🛠️ What We Are Looking For:
 
 <ul>
 <li>
 
 The SaaS Mindset:
 
 You must have a proven track record of building data architectures
 
 for commercial SaaS products
 
 , not just internal company BI. You understand the classic software development lifecycle and how to build to prevent system outages.
 </li>
 <li>
 
 The Data Stack:
 
 Deep, hands-on production experience with
 
 Databricks
 
 is preferred. (If your background is in
 
 Snowflake
 
 or
 
 BigQuery
 
 , that works perfectly too&mdash;provided it's paired with AWS).
 </li>
 <li>
 
 The Cloud Ecosystem:
 
 
 AWS
 
 is highly preferred. If your expertise lies in another ecosystem like GCP, you&rsquo;ll need to have it tightly paired with Databricks experience.
 </li>
 <li>
 
 The Vibe:
 
 You are collaborative, direct, and bring great energy to the room. You enjoy solving tough problems alongside a sharp team.
 </li>
 </ul>
 
 
 
 
 💼 Why This Role?
 
 
 You get to work on a product that makes a genuine global impact, operating with the agility of a focused product team. It&rsquo;s a high-trust, hybrid environment where your architectural choices directly impact the product's commercial success.
 
 
 
 
 
 If you&rsquo;re a Principal Engineer who thrives on building robust SaaS products and wants to join a high-energy team, let's connect. Drop me a message with your profile!
 
</div>

Data Engineer

Redhorse International

Data Engineer Bringing to the UK unique graph data expertise, Redhorse International is preparing to set up a Data Practice, specialising in graph technologies. Focusing initially on a particular piece of work, we are looking for exceptional data professionals with demonstrable experience of working with big data sets in highly available environments.As part of our initial resource plan, we are looking for a Data Engineer with full data engineering lifecycle experience. As a Data Engineer you are passionate about data and maximising its value. Having consistently worked your way through the full data lifecycle, from design and implementation of data pipelines from diverse sources to maintain data products, you are confident in ensuring data integrity, accessibility and scalability without compromising security. Comfortable to demonstrate knowledge of a variety of supporting infrastructures; you are now looking for your next challenge and we have a good one!Time is of the essence, so successful candidates should have experience of the following:<ul><li>Full end to end delivery of data solution for graph, analytics or knowledge management platforms</li><li>Strong understanding of full data architecture stack, including optimisations and efficiencies</li><li>Integration of workflow applications and analytics into a coherent architecture</li><li>Technical team leadership and confidence in delivery</li><li>Knowledge Graph or analytics technology stack or AI data processing &ndash; entity resolution, Neo4J, Databricks, Spark, Snowflake, ETL, the full gamut of data pipelines and deployment components</li></ul>The successful candidate should be prepared to join our talented colleagues and partners, complementing their skills while understanding Redhorse commitment to our values and clients. Be prepared to learn a lot whilst you begin your first programme of work.Redhorse International will reward the successful candidate with a competitive salary, excellent benefits package and career progression. This is a fantastic opportunity for the right person to be our first Data Practice resource. You will be joining us with the knowledge that you will shape how the Practice evolves and have direct impact on the success of the business.To apply you must be a British Citizen and prepared to obtain a level of security clearance. Due to those vetting requirements, in some instances, the recruitment process may take up to 8 weeks.Pay: &pound;51,355.35-&pound;106,846.96 per yearBenefits:<ul><li>Childcare</li><li>Company events</li><li>Company pension</li><li>Cycle to work scheme</li><li>Employee discount</li><li>Financial planning services</li><li>Flexitime</li><li>Private dental insurance</li><li>Private medical insurance</li><li>Sick pay</li><li>Store discount</li></ul>Application question(s):<ul><li>Are you a British Citizen? </li></ul>Work Location: In person

Entegra

<div>
 
 
 Data Engineer UK &amp; I
 
 
 
 
 Permanent
 
 
 
 
 Hybrid/Remote, the role will require travel for key business meetings on a monthly basis. The location of the meetings can vary
 
 
 
 
 
 
 
 The Role Mission &amp; Responsibilities:
 
 
 
 The Local Data Engineer designs, builds, and maintains the country&rsquo;s data pipelines (ingestion &rarr; transformation &rarr; exposure). The role works closely with Data Analysts to frame requirements and deliver reliable, well-documented, and maintainable datasets, with a progressive transfer of ownership to analytics teams.
 
 <ul>
 <li>
 Build end-to-end data pipelines: ingestion, cleansing, transformation, modeling, and exposure (datasets / tables / views).
 </li>
 <li>
 Industrialize data flows: error handling, retries, performance, scalability, and cost optimization.
 </li>
 <li>
 Deploy and operate pipelines in production (run, monitoring, fixes).
 </li>
 <li>
 Design &ldquo;analytics-ready&rdquo; datasets (stable, understandable, documented).
 </li>
 <li>
 Organize the handover through documentation, conventions, short training sessions, and progressive transfer of ownership on data usage and &ldquo;light&rdquo; functional evolutions (new fields, simple rules), within the agreed framework.
 </li>
 <li>
 Apply defined patterns and standards (naming, modeling, testing, security, documentation).
 </li>
 <li>
 Contribute to the &ldquo;build once, reuse across countries&rdquo; approach by sharing needs, patterns, and reusable improvements.
 </li>
 <li>
 Implement shared group data models and manage well-framed local extensions.
 </li>
 <li>
 Implement data quality controls (tests, validations, alerts) and ensure expected traceability
 </li>
 </ul>
 
 
 
 
 
 The Successful Candidate will possess the following skills and experience:
 
 
 <ul>
 <li>
 Strong SQL skills, data modeling, pipeline development, and industrial best practices.
 </li>
 <li>
 Cloud experience appreciated (Azure preferred).
 </li>
 <li>
 Ability to work in a federated environment: local autonomy with strong group alignment.
 </li>
 <li>
 Strong collaboration skills with Data Analysts (framing, delivery, handover, pedagogy).
 </li>
 <li>
 Ability to translate technical process to non technical stakeholders
 </li>
 </ul>
 
 
 
 
 
 Success in this role will look like:
 
 
 <ul>
 <li>
 Key pipelines built and running in production with reliability and observability aligned with standards.
 </li>
 <li>
 &ldquo;Analytics-ready&rdquo; datasets delivered with clear documentation and business rules.
 </li>
 <li>
 Effective handover to Data Analysts for usage and simple functional evolutions.
 </li>
 <li>
 Group consistency respected: reuse of shared models and patterns, controlled local extensions.
 </li>
 <li>
 Data quality under control and incidents managed efficiently.
 </li>
 </ul>
 
 
 
 
 
 
 Who Are Entegra:
 
 
 
 
 Entegra is a performance improvement company and the world&rsquo;s leading hospitality performance partner, helping clients buy better, operate smarter, and perform more sustainably.
 
 
 Leveraging over &euro;36 billion in global purchasing power, we deliver savings, services, and operational excellence that drive client growth and impact.
 
 
 Part of the Sodexo Group, a global leader in Quality-of-Life Services, Entegra operates across 10 countries in North America, Continental Europe, and the UK &amp; Ireland, employing more than 450 colleagues and achieving double-digit growth year on year.
 
 
 We&rsquo;re committed to equity of opportunity and to fostering a culture that values the strength of a diverse workforce. As a Disability Confident Committed employer, we actively remove barriers to inclusion and ensure everyone has the chance to thrive.
 
 
 At Entegra, inclusivity drives performance &mdash; we create an environment where every colleague feels supported, valued, and empowered to succeed
 
 
 
 
 
 Plan B Talent Ltd is the embedded recruitment partner to Entegra. By completing your application you have given permission for your data to be processed by Plan B Talent, and as such added to their database. For more information on Plan B Talent Ltd&rsquo;s privacy policy please click
 
 here
 
 .
 
 
 To request for your details to be removed from the Plan B Talent Ltd database please contact bobby@planbtalent.co.uk.
 
</div>

Nous Infosystems

<div>
 
 
 
 Role: Data Engineer
 
 
 
 
 Location: London, UK (2 days/week onsite)
 
 
 
 
 
 
 
 
 
 
 
 
 Role Overvie
 
 
 
 w:Looking for a Data Engineer to build and maintain scalable data pipelines and support large-scale analytics systems. You&rsquo;ll work with high-volume data using modern orchestration frameworks and big data technologie
 
 
 
 
 
 
 s.
 
 Key Responsibiliti
 
 
 <ul>
 <li>
 es:Build and maintain data pipelines using Pyt
 </li>
 <li>
 honDevelop and optimize ETL workfl
 </li>
 <li>
 owsWrite complex SQL queries (Presto / Spark S
 </li>
 <li>
 QL)Work with Spark for large-scale data process
 </li>
 <li>
 ingEnsure data quality, monitoring, and reliabil
 </li>
 <li>
 ityCollaborate with cross-functional teams (Data Science, Product, Analyti
 </li>
 </ul>
 
 
 
 
 
 cs)
 
 Tech S
 
 
 <ul>
 <li>
 tackLanguages: Python,
 </li>
 <li>
 SQLTools: Dataswarm (Airflow-like), Spark, Presto,
 </li>
 <li>
 HiveOthers: Data catalog, dashboarding, lineage &amp; monitoring t
 </li>
 </ul>
 
 
 
 
 
 ools
 
 Required S
 
 
 <ul>
 <li>
 killsStrong Python + SQL expe
 </li>
 <li>
 rtiseExperience with data pipeline/orchestration tools (Airflow or sim
 </li>
 <li>
 ilar)Hands-on with Spark / big data proce
 </li>
 <li>
 ssingGood understanding of data warehousing con
 </li>
 <li>
 ceptsExperience working with large dat
 </li>
 <li>
 asetsExperience in FAANG-scale environ
 </li>
 <li>
 mentsExposure to data lineage / metrics frame
 </li>
 <li>
 worksFamiliarity with real-time monitoring
 </li>
 </ul>
 
 
 
 tools
</div>

LexisNexis Risk Solutions

<div>Are you passionate about building trusted customer data foundations that power meaningful marketing decisions?
Would you like to shape scalable data pipelines and models that improve customer journeys, analytics, and business outcomes?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication &amp; Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, LexisNexis Risk Solutions | Transform Your Risk Decision Making
About our Team
This role acts as the technical backbone for the Marketing Hub &mdash; partnering closely with analytics, MarTech, and digital teams to deliver the pipelines, data models, and governance frameworks that support personalisation, measurement, experimentation, and strategic decision‑making. The Data Engineer ensures data is not only accurate and compliant but designed for high performance and long‑term growth.
About the Role
The Data Engineer plays a foundational role in enabling modern, insight‑driven marketing by building and maintaining the data infrastructure that powers the organisation&rsquo;s customer intelligence ecosystem. Working across the Customer Data Platform , journey orchestration capability , and advanced analytics and dashboarding environment , the role ensures that marketing has access to trusted, well‑structured, and scalable data.
Responsibilities
<ul><li>Data Architecture &amp; Pipeline Engineering: Build and maintain reliable pipelines integrating customer, campaign, and operational data into the CDP, ensuring accuracy and readiness for analysis
</li><li>Marketing Data Model Design: Develop scalable models supporting segmentation, lifecycle analytics, attribution, and KPI frameworks
</li><li>CDP Enablement &amp; Identity Management: Partner with MarTech and Analytics to improve identity resolution, consent logic, and data quality within the CDP
</li><li>Journey Orchestration Data Readiness: Enable event streams, triggers, and monitoring to support accurate, timely customer journeys
</li><li>Analytics &amp; Dashboarding Enablement: Provide structured datasets and semantic layers for reporting and dashboards, aligned with KPI frameworks
</li><li>Data Governance &amp; Quality Assurance: Maintain data quality, lineage, and compliance with GDPR and PII standards
</li><li>Collaboration &amp; Strategic Influence: Work closely with the Senior Marketing Analyst to align on priorities, translating technical concepts into business insights
</li><li>Operational Excellence &amp; Standards: Ensure scalable, stable data operations using best practices in automation, observability, and continuous improvement
</li></ul>Requirements
<ul><li>Advanced SQL, ETL/ELT frameworks, and cloud data platforms such as Azure, AWS, or GCP
</li><li>Data modelling and pipeline orchestration using tools such as Airflow, Data Factory, dbt, or similar
</li><li>Integrate CDP data sources across digital, CRM, transactional, and behavioural data; support identity resolution, consent handling, audience activation, journey events, trigger logic, and behavioural signals
</li><li>Build data marts and semantic layers for dashboarding and BI tools such as Power BI or Tableau; structure datasets optimised for KPI frameworks, attribution, funnel, and lifecycle analytics
</li><li>Apply data quality frameworks, lineage, cataloguing, and GDPR/PII compliance practices
</li><li>Design secure data pipelines with monitoring, alerting, and SLA/SLO management
</li><li>Translate business and marketing needs into clear technical specifications, communicating technical topics clearly to non-technical stakeholders
</li><li>Partner with analytics, marketing ops, and MarTech teams to own scalable, reliable, trusted customer-data solutions
</li></ul>Risk benefit statement
Learn more about the LexisNexis Risk team and how we work
 
https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000 

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Nomia Ltd

<div>
 
 
 About the Role
 
 
 
 
 
 
 As Data Engineer, you will promote data as a key differentiator for Nomia. You will help drive innovation and the building of intelligent systems for internal use, as well as for our customers and suppliers globally. You will be a key member of the team devoted to designing and implementing cutting-edge Agentic solutions.
 
 
 
 
 
 
 Roles &amp; Responsibilities
 
 
 <ul>
 <li>
 Design and implement data pipelines for cleaning and enriching data
 </li>
 <li>
 Be responsible for the data lake
 </li>
 <li>
 Find and curate third-party datasets
 </li>
 <li>
 Prepare data for use in experiments
 </li>
 <li>
 Design and maintain notebooks to measure the quality and completeness of data
 </li>
 <li>
 Understand real-world use cases and translate them into actionable plans
 </li>
 <li>
 Conduct experiments to validate design choices or theories
 </li>
 <li>
 Create, manage, monitor, and maintain data models
 </li>
 <li>
 Design and implement ETL processes
 </li>
 <li>
 Document all aspects of your work
 </li>
 <li>
 Stay abreast of advancements in data engineering and research new software and techniques
 </li>
 <li>
 Participate in code reviews, technical discussions, and cross-functional meetings
 </li>
 </ul>
 
 
 
 
 
 About You
 
 
 <ul>
 <li>
 3+ years' experience in data engineering
 </li>
 <li>
 Demonstrable experience with Microsoft Azure tools, such as Function Apps and services including Data Factory, Azure Synapse, and Azure Databricks
 </li>
 <li>
 Demonstrable experience designing and implementing ETL pipelines
 </li>
 <li>
 Proficient in PostgreSQL and T-SQL
 </li>
 <li>
 Proficient in Python, with a strong command of data processing libraries such as Pandas and PySpark
 </li>
 <li>
 Proficient in the use of Python notebooks
 </li>
 <li>
 Experience with event-driven architecture
 </li>
 <li>
 Familiarity with LLMs and prompt engineering
 </li>
 <li>
 Proficient in writing clean, maintainable code and well-documented data pipelines
 </li>
 <li>
 Wide knowledge of different database types and designs
 </li>
 <li>
 Familiarity with data modelling techniques
 </li>
 <li>
 Genuine enthusiasm for learning new ideas and techniques
 </li>
 </ul>
 
 
 
 
 
 General
 
 
 <ul>
 <li>
 Ensure compliance with Nomia's data protection and information security policies
 </li>
 <li>
 Hybrid work model &mdash; 3 days per week in office, with flexibility based on training or team needs
 </li>
 <li>
 Promote inclusivity, innovation, and ethical use of AI across the organisation
 </li>
 <li>
 Be adaptable and proactive in learning new tools, techniques, and methods as the AI landscape evolves
 </li>
 </ul>
 
 
 
</div>

NOMIA

<div>About the Role
As Data Engineer, you will promote data as a key differentiator for Nomia. You will help drive innovation and the building of intelligent systems for internal use, as well as for our customers and suppliers globally. You will be a key member of the team devoted to designing and implementing cutting-edge Agentic solutions.
Roles &amp; Responsibilities<ul><li>
Design and implement data pipelines for cleaning and enriching data</li><li>
Be responsible for the data lake</li><li>
Find and curate third-party datasets</li><li>
Prepare data for use in experiments</li><li>
Design and maintain notebooks to measure the quality and completeness of data</li><li>
Understand real-world use cases and translate them into actionable plans</li><li>
Conduct experiments to validate design choices or theories</li><li>
Create, manage, monitor, and maintain data models</li><li>
Design and implement ETL processes</li><li>
Document all aspects of your work</li><li>
Stay abreast of advancements in data engineering and research new software and techniques</li><li>
Participate in code reviews, technical discussions, and cross-functional meetings</li></ul>
About You<ul><li>
3+ years' experience in data engineering</li><li>
Demonstrable experience with Microsoft Azure tools, such as Function Apps and services including Data Factory, Azure Synapse, and Azure Databricks</li><li>
Demonstrable experience designing and implementing ETL pipelines</li><li>
Proficient in PostgreSQL and T-SQL</li><li>
Proficient in Python, with a strong command of data processing libraries such as Pandas and PySpark</li><li>
Proficient in the use of Python notebooks</li><li>
Experience with event-driven architecture</li><li>
Familiarity with LLMs and prompt engineering</li><li>
Proficient in writing clean, maintainable code and well-documented data pipelines</li><li>
Wide knowledge of different database types and designs</li><li>
Familiarity with data modelling techniques</li><li>
Genuine enthusiasm for learning new ideas and techniques</li></ul>
General<ul><li>
Ensure compliance with Nomia's data protection and information security policies</li><li>
Hybrid work model &mdash; 3 days per week in office, with flexibility based on training or team needs</li><li>
Promote inclusivity, innovation, and ethical use of AI across the organisation</li><li>
Be adaptable and proactive in learning new tools, techniques, and methods as the AI landscape evolves</li></ul></div>

Explore 1086+ Data engineer in London this July. Find roles across top companies and apply now to boost your career.

1086 data engineer jobs In London

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