database engineer

Fuse Energy

<div>Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. 
 
We&rsquo;re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. 
 
But we&rsquo;re not stopping there. We&rsquo;re also building the Energy Network: a decentralised platform of smart devices to electrify our homes, shifting usage to off-peak hours and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. 
 
Responsibilities<ul><li><ul><li><ul><li>
Own the reliability, performance, and scalability of Fuse's database infrastructure across Postgres and ClickHouse</li><li>
Build and maintain scalable, reliable data pipelines to support analytics, reporting, and product needs</li><li>
Own the design and evolution of analytical schemas, translating business logic into structured, intuitive data models</li><li>
Migrate and transform data from Postgres into ClickHouse, ensuring performance and reliability</li><li>
Develop and maintain DBT models that reflect our business domain and make data easily accessible for teams</li><li>
Implement tests and data quality checks to ensure reliable and trustworthy datasets</li><li>
Identify and eliminate duplicates, improve data consistency, and enforce clean modelling standards</li><li>
Manage all database and infrastructure changes through IaC &mdash; minimise direct DB modifications</li></ul></li></ul></li></ul> 

Requirements 
<ul><li><ul><li>
3+ years of experience in a backend engineering or data-focused engineering role</li><li>
Writes the cleanest SQL you've ever seen &mdash; proficiency in Python and SQL is non-negotiable</li><li>
Hands-on experience with relational databases, particularly Postgres</li><li>
Experience designing schemas and building data models that reflect real-world business logic</li><li>
Familiarity with DBT or similar data transformation frameworks</li><li>
Strong understanding of data validation, testing, and quality assurance practices</li><li>
Manages all infrastructure through IaC tooling (Pulumi, AWS CDK) &mdash; treats the database as code, not a manual system</li><li>
Grasps new business domains quickly &mdash; able to translate unfamiliar logic into clean, intuitive data models without hand-holding</li></ul></li></ul>
Bonus<ul><li><ul><li>
Experience with ClickHouse or columnar databases</li><li>
Familiarity with cloud-based data orchestration tools (Dagster, Step Functions)</li><li>
CI/CD practices for data pipelines and transformations</li><li>
Experience operating databases at scale in a production environment</li></ul></li></ul> 

Benefits 
<ul><li>
Competitive salary and an equity sign-on bonus</li><li>
Biannual bonus scheme</li><li>
Fully expensed tech to match your needs</li><li>
Paid annual leave</li><li>
Breakfast and dinner allowance for office based employees</li></ul></div>

Database Reliability Engineer

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>

Data Engineer

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>

<div>Role description 
Senior / Principal Data Platform Engineer (Snowflake &amp; dbt)

London (Hybrid)

ASAP

We are seeking accomplished Data Platform Engineers with extensive experience in Snowflake and dbt to lead the design and delivery of scalable, enterprise-grade data solutions.

This role combines deep technical expertise with strategic influence, shaping data architecture, enabling modern CI/CD practices, and partnering closely with stakeholders to deliver high-impact, production-ready data capabilities. You will play a key role in driving data platform excellence, ensuring robustness, performance, and long-term scalability across the ecosystem. 


Key Responsibilities:
<ul>
<li>Lead the end-to-end delivery of data solutions on Snowflake, ensuring scalability, resilience, and performance</li>
<li>Design and implement modular, testable, and well-documented dbt models, embedding best practices across transformation layers</li>
<li>Build, optimise, and manage CI/CD pipelines using Azure DevOps to enable seamless, automated deployments across environments</li>
<li>Establish and champion engineering standards, including Git workflows, code quality, peer reviews, and release management</li>
<li>Optimise large-scale data workloads through advanced SQL techniques and Snowflake performance enhancements</li>
<li>Partner with business and technical stakeholders to translate requirements into scalable, outcome-driven data solutions</li>
<li>Ensure production readiness, including monitoring, ing, incident resolution, and structured handover to support teams</li></ul> 


What You Will Bring:
<ul>
<li>Extensive experience working with the Snowflake data platform in complex, enterprise environments</li>
<li>Advanced proficiency in SQL, including data modelling, optimisation, and performance tuning</li>
<li>Strong hands-on experience with dbt, including modelling, testing, macros, and incremental processing</li>
<li>Extensive experience with Git-based version control, including branching strategies and code governance</li>
<li>Proven capability in building and maintaining Azure DevOps CI/CD pipelines, supporting automated and scalable deployments</li>
<li>Strong understanding of software development lifecycle and production support models</li>
<li>Ability to engage effectively with cross-functional stakeholders, translating business needs into technical solutions</li>
<li>Strong communication skills, with the ability to convey complex concepts in a clear and structured manner</li>
<li>A proactive, solution-oriented mindset with a focus on delivering measurable outcomes</li></ul> 


Desirable Experience:
<ul>
<li>Experience within data-intensive or regulated industries, such as financial services</li>
<li>Familiarity with data quality frameworks and automated testing approaches</li>
<li>Exposure to the Azure data ecosystem</li></ul> 


Hurry &amp; apply for a more detailed conversation with our team!

#UST 
Skills 
sql server,database triggers,database migration,disaster recovery,query optimization, 
About UST 
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div>

Principal Data Platform Engineer (Snowflake & dbt) - Lead II - Software Engineering

comply

<div><div>Who Are We:</div><div></div><div> 
Comply is the leading provider of compliance SaaS and consulting services for the global financial services sector. With more than 5,000 clients and hundreds of employees across the globe, Comply empowers Chief Compliance Officers and their teams to proactively manage regulatory obligations, mitigate risk, and scale with efficiency and confidence.</div><div></div><div> 
Comply serves thousands of global financial services clients including broker-dealers, insurers, investment banks, private funds, RIAs, and wealth managers who rely on Comply offerings to power their compliance programs.</div><div></div><div> 
To learn more about Comply, visit comply.com</div><div></div><div> 
The Role:</div>
<div></div>
<div>We are looking for Senior AI Data Engineers to implement and operationalize Comply&rsquo;s semantic layer &mdash; turning the ontological models defined by our ontologist and architects into working knowledge graphs, vector search infrastructure, and LLM-powered pipelines. This is a hands-on engineering role at the intersection of knowledge representation, AI infrastructure, and data platform engineering. You will own the delivery of semantic layer components, collaborate closely with application and data engineering teams, and ensure that AI-ready data products are reliable, performant, and adopted in practice. You will report into the Data and Analytics organization as part of a new team being created to enable future data capabilities in relation to our AI ambitions.</div>
<h3 class="jobSectionHeader">Responsibilities:
</h3><div>Semantic Layer Implementation</div>
<ul><li>Implement JSON-LD-based semantic models designed by the ontologist into production data systems</li>
<li>Build and maintain knowledge graph structures that reflect canonical domain models &bull; Develop and manage graph database schemas, queries, and data ingestion pipelines</li>
<li>Ensure semantic consistency between ontology definitions and downstream data product</li>
</ul><div>AI &amp; Vector Infrastructure</div>
<ul><li>Design and implement embedding pipelines that represent Comply&rsquo;s financial and regulatory data in 
vector space</li>
<li>Build and operate vector database infrastructure for semantic search and similarity retrieval</li>
<li>Implement RAG (Retrieval-Augmented Generation) architectures that ground LLM outputs in Comply&rsquo;s 
proprietary data</li>
<li>Evaluate and integrate LLM tooling and frameworks appropriate to Comply&rsquo;s use cases</li>
</ul><div>Data Pipeline &amp; Platform Engineering</div>
<ul><li>Build reliable, observable data pipelines that feed the semantic layer from upstream broker and 
regulatory data sources</li>
<li>Apply DataOps practices including testing, monitoring, lineage tracking, and SLAs</li>
<li>Work with Data Engineers and Backend Engineers to embed semantic models into APIs and data contracts</li>
<li>Ensure the semantic layer scales with data volume and platform growth</li>
</ul><div>Collaboration &amp; Enablement</div>
<ul><li>Partner closely with the Ontologist to ensure implemented models faithfully reflect domain intent</li>
<li>Support consuming application teams in understanding and adopting AI-ready data products</li>
<li>Contribute to resolving cross-domain data integration challenges</li>
</ul><h3 class="jobSectionHeader">Skills and Qualifications:
</h3><ul><li>Strong hands-on experience in data engineering, with a focus on semantic or AI data infrastructure</li>
<li>Experience building and operating knowledge graphs or graph databases (e.g. Jena Fuseki, Neo4j, Amazon 
Neptune, or equivalent)</li>
<li>Experience with vector databases and embedding pipelines (e.g. Pinecone, Weaviate, Qdrant, pgvector)</li>
<li>Practical experience implementing RAG architectures or LLM-integrated data pipelines</li>
<li>Familiarity with semantic web standards &mdash; JSON-LD, RDF, OWL, or SKOS</li>
<li>Strong Python skills and experience with data pipeline frameworks</li>
<li>Experience with cloud-native data platforms (AWS, Azure, or GCP)</li>
<li>Exposure to domain-driven design (DDD) and bounded contexts is desirable.</li>
<li>Experience working directly with ontologists or knowledge engineers is a plus.</li>
<li>Familiarity with data contracts and data product frameworks is a plus.</li>
<li>Experience with DataOps tooling, data reliability, or data observability platforms is desirable.</li>
<li>Background in financial services, RegTech, or compliance data is a plus.</li>
</ul><div>To learn more about our values, mission and the wide-range of perks offered to employees at Comply, visit https://www.comply.com/careers/. 
</div><div></div> 
<div>Comply is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity, or national origin. Nothing in this job posting should be construed as an offer or guarantee of employment.</div><div>
</div><div>
Applicants must be authorized to work for any employer in the United Kingdom. Currently, we are unable to sponsor or take over sponsorship of an employment Visa at this time.</div><div>
</div><div>
Comply is aware of scammers posing as Comply employees and extending job offers via direct messaging, texts and social media platforms. These are fraudulent and should be treated as such. To learn more about this, please review our Statement of Fraudulent Job Offers.</div><div></div> 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>

Senior AI Data Engineer

Few&Far

<div>
 
 🚨
 
 Senior Data Engineer | Outside IR35 Contract | Up to &pound;525/day | London (1 day onsite)
 
 🚨
 
 
 
 
 
 I'm working with a growing business that's looking for a Senior Data Engineer to join on an initial 6-12 month contract.
 
 
 
 
 
 💰
 
 Up to &pound;525 per day
 
 
 
 📍
 
 London - 1 day per week onsite
 
 
 
 📄
 
 Outside IR35
 
 
 
 ⚡
 
 1-stage interview process
 
 
 
 
 
 
 This is a fantastic opportunity to play a key role in modernising a cloud-based data platform while helping to future-proof the company's infrastructure and mentoring junior engineers as they continue to develop.
 
 
 
 
 
 You'll be working on:
 
 
 ✅ Modernising data lake &amp; data warehouse architecture
 
 
 ✅ Designing, building and optimising ETL/ELT pipelines
 
 
 ✅ Deploying and supporting production ML systems, including forecasting models, LLM-powered and agentic workflows
 
 
 ✅ Enhancing an AWS-native data platform (S3, Redshift, RDS, Athena, SageMaker &amp; Lambda)
 
 
 ✅ Writing high-performance SQL and production-quality Python
 
 
 ✅ Improving platform reliability, monitoring and CI/CD
 
 
 ✅ Collaborating with stakeholders to deliver scalable data solutions
 
 
 ✅ Mentoring junior engineers through code reviews and best practices
 
 
 
 
 
 
 Tech Stack:
 
 
 
 ☁️ AWS
 
 
 🐍 Python
 
 
 🗄️ SQL
 
 
 🔄 Airflow (AWS)
 
 
 📊 Looker (nice to have)
 
 
 
 
 
 I'm keen to speak with Data Engineers who have:
 
 
 ✔️ Strong experience building production-grade data pipelines
 
 
 ✔️ Advanced SQL and Python skills
 
 
 ✔️ Experience deploying and supporting ML models in production
 
 
 ✔️ AWS cloud experience and a solid understanding of DevOps/platform engineering
 
 
 
 
 
 If you're available soon or know someone who could be a great fit, please apply below or share this job post!
 
</div>

Senior Data Engineer

HOMETRACK

<div>Hybrid working pattern - 2 days per week from London Bridge Office
Hometrack is seeking an experienced Senior Data Engineer to join our product team to help us deliver Hometrack's Data Services ambitions. By building the best property data sets available, which back the market leading AVM, trusted by 17 out of the top 20 mortgage lenders in the UK, we open the door to helping all our customers make the decisions that matter to them - to buy, to lend, to build.
The Data Services team works with 100s of customers across the property sector ranging from mortgage lenders, house builders, investors, fin &amp; proptech, insurers, telco, retail and utilities, as well as others involved in the housing market. Our mission is to inform decision makers by putting the UK&rsquo;s most trusted property data and insights at the heart of the property ecosystem.
Our market intelligence and customer acquisition, retention and engagement solutions are relied upon by leading industry professionals.
Data Services has a diverse product range covering market, property and mover intelligence, delivered through varying mechanisms including data platforms, reports and APIs, providing maximum flexibility when matching our customers&rsquo; needs to the most effective data solution.
Hometrack is looking for an experienced senior data engineer to help us make this a reality.
What we&rsquo;re looking for in a Senior Data Engineer:<ul><li>
Be accountable for team outcomes, playing your part in achieving team goals and ensuring your contribution positively impacts overall success</li><li>
Be a continual improver, looking for ways to help the team do better and be better, again and again</li><li>
Write maintainable, testable code and enjoy providing code reviews</li><li>
Be experienced with Databricks, Delta Lake and Lakehouse architecture for efficient data management; experience with ETL processes and optimizing data pipelines for performance</li><li>
Be strong in Python, SQL, and PySpark</li><li>
Be passionate about building data products for stakeholders and customers, ensuring they are stable, scalable, secure, accurate, observable, and performant</li><li>
Enjoy collaborating closely with colleagues in Product, Analytics, Security, and Software, explaining technical concepts to non-technical audiences</li></ul></div>

Explore 247+ Database engineer in London this July. Find roles across top companies and apply now to boost your career.

247 database engineer jobs In London

Database Reliability Engineer

Data Engineer

Data Engineer

Principal Data Platform Engineer (Snowflake & dbt) - Lead II - Software Engineering

Senior AI Data Engineer

Senior Data Engineer

Senior Data Engineer