data platform engineer

<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

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

Neal's Yard Remedies

Love SQL, DBT, ETL and WMS?
 Love an abbreviation?
 We do too!
 You'll be a tech wizard with previous experience within a Retail business. You'll loves data and can extract, formulate, and manipulate data to create insightful reports to tell the right stories and set business focus. You will be an enabler for Neals Yard Remedies, harnessing the power of technology to drive insight, innovation and impact. You'll help shape our future data landscape, building the infrastructure and tools to empower our teams to make bold data led decisions.
 With a laser focus on the reliability, stability and continuous improvement of our data and integration landscape, you'll support critical systems that underpin retail, distribution and operational processes. You'll maintaining and enhance data pipelines, integrations and platform capabilities that enable the business to operate effectively every day.
 Working across data engineering and systems integration, you'll help drive best practice, improve documentation, strengthen platform resilience and support the business through reliable, trusted data and connected systems.
 Forward thinking in your approach, you'll help design and deploy scalable data solutions to help unlock opportunities, aligned with our strategic objectives, including building ETL pipelines, whilst collaborating across departments to ensure data is easily accessible.
 You'll enjoy assisting teams in a true partnering capacity, comfortable challenging where necessary, using your excellent communication skills to effectively communicate technical information to non-technical personnel. You'll have the ability to directly influence and support commercial decision making.
 You'll join a fast paced and fun environment, where no two days are the same, playing a critical role in managing our data story and delivering real value. Our working culture has the perfect mix of responsibility and ownership, balanced with support and encouragement. You'll have freedom in this role to carve your own path, but with the safety net of a knowledgeable and supportive wider Technology Team.
 
We are open to applications from a Senior Data/ Software Engineer or someone ready to make the next step in their career. Passion for what you do is paramount, as we believe in you, to do what you do well, in our beautifully unique environment.
 
What you'll have: 
Strong hands-on experience with Snowflake in a production environment
 Experience working with Netsuite and supporting ERP integrations, is an advantage
 Advanced SQL skills and experience developing data transformation solutions using dbt
 Experience working with Jitterbit or a comparable iPaaS integration platform
 Knowledge of Shopify integrations and eCommerce systems
 Strong understanding of FTP/SFTP protocols and file transfer configuration
 Experience supporting enterprise data and integration platforms in a live operational environment
 Experience working with EDI integrations and data exchange processes
 Understanding of warehouse management system (WMS) integrations would be beneficial
 Knowledge of JavaScript and HTML is desirable
 
What you'll get: 
Generous employee discount
 Casual dress
 Company pension
 Long service benefits
 Paid community days
 25 days annual leave plus Bank Holidays
 Employee Assistance Programme

Senior Data / Software Engineer

Deloitte

<div><div><div><div><h3 class="jobSectionHeader">Basic information
</h3></div></div><div><div><div><div>Location
</div><div>London
</div></div><div><div>Business Line
</div><div>Tax &amp; Legal
</div></div><div><div>Job Type
</div><div>Contract
</div></div><div><div>Date published
</div><div>29-Jun-2026
</div></div><div><div>Req #
</div><div>23837
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader">Job description
</h3></div></div><div></div><div><div><div><div>Job Title: AI Data Engineer (Azure)
Location: London Hybrid. Travel to the London office 2 days a week
Duration: 6 months
Contract Start Date: ASAP
Day rate: Competitive (Inside IR35) 
Deloitte
Working with the Deloitte Associate (Contractor) Programme means we can offer you the opportunity to work on a variation of industry and client related projects. Our aim is to retain the best talent and so when your project end date nears our team of Talent Community Advisors will be working with you to look at alternative projects within the firm that suit your experience should you wish to continue with Deloitte. 
The Role
We are looking for a highly skilled AI Data Engineer (Contractor) specialising in Azure to join our Digital Innovation team, supporting cutting-edge data and analytics use cases across Tax &amp; Legal. This role is ideal for someone who combines strong AI/GenAI data pipeline expertise with hands-on Azure, data discovery and analysis. You will be comfortable working with unstructured data and modern Azure-native architectures. You will play a key role in transforming complex datasets into meaningful insights, working closely with Tax domain specialists to understand requirements, shape solutions, and clearly present outputs that drive business value. We're looking for a strong communicator with problem solving skills who can bridge technical data engineering and business understanding. A proactive, delivery-focused engineers who is comfortable working at pace. 
Deliverables: Responsibilities but not limited to:
1. Data Engineering &amp; Azure Platform Delivery 
<ul><li><ul><li>
Design and build end-to-end data pipelines using Azure (ADF, Synapse, Fabric)</li><li>
Develop scalable frameworks for ingesting structured, semi-structured, and unstructured data</li><li>
Implement modern architectures (e.g. Lakehouse, medallion &ndash; bronze/silver/gold)</li><li>
Build and optimise storage solutions across ADLS Gen2, Cosmos DB, and Azure SQL/Synapse</li><li>
Deliver scalable, maintainable, production-ready solutions</li></ul></li></ul>
2. Unstructured Data &amp; NoSQL Engineering<ul><li><ul><li>
Design pipelines to process, transform, and enrich unstructured data.</li><li>
Leverage Cosmos DB for high-throughput, low-latency, schema-flexible workloads</li><li>
Optimise partitioning, indexing, and query performance</li><li>
Enable downstream analytics and AI use cases (e.g. reporting, search, RAG)</li></ul></li></ul>
3. Data Discovery, Analysis &amp; Business Engagement<ul><li><ul><li>
Conduct data discovery, profiling, and exploratory analysis</li><li>
Collaborate with Tax &amp; Legal stakeholders to translate business needs into data solutions</li><li>
Identify trends, anomalies, and data quality issues</li><li>
Present insights clearly to non-technical and senior stakeholders</li><li>
Support development of curated datasets and semantic layers</li></ul></li></ul>
4. Collaboration &amp; Delivery<ul><li><ul><li>
Work with data scientists, AI engineers, architects, and domain specialists</li><li>
Enable data consumption via reporting tools, APIs, and data services</li><li>
Contribute to best practices in governance, lineage, and data cataloguing</li><li>
Deliver high-quality solutions in agile environments</li></ul></li></ul> 
Essential Skills and Experience<ul><li><ul><li>
Proven experience as an Azure Data Engineer in end-to-end data platforms</li><li>
Exposure to AI/GenAI data pipelines (e.g. RAG, embeddings, search)</li><li>
Knowledge of Azure AI Search or vector-based retrieval systems</li><li>
Strong hands-on experience with:</li><li><ul><li><ul><li>
Azure Data Factory / Synapse / Microsoft Fabric</li><li>
Azure Data Lake Storage (ADLS Gen2)</li><li>
Azure Cosmos DB (Core/SQL API, NoSQL modelling)</li></ul></li></ul></li><li>
Experience working extensively with unstructured and semi-structured data</li><li>
Proficiency in Python and SQL</li><li>
Demonstrated experience in:</li><li><ul><li><ul><li>
Data discovery, profiling, and exploratory analysis</li><li>
Data transformation and data quality frameworks</li></ul></li></ul></li><li>
Strong understanding of:</li><li><ul><li><ul><li>
NoSQL vs relational data modelling</li><li>
Data partitioning and performance tuning</li></ul></li></ul></li><li>
Experience building scalable, production-grade data pipelines</li><li>
Familiarity with CI/CD and DevOps practices in Azure</li></ul></li></ul> 
Desirable:<ul><li><ul><li>
Azure Data Engineering Associate certification (DP-203) or equivalent</li><li>
Experience with Microsoft Fabric and Lakehouse architectures</li><li>
Experience integrating Cosmos DB with analytical platforms</li><li>
Familiarity with data governance frameworks</li></ul></li></ul> 
IR35
As a means of managing tax, commercial and reputational risks, Deloitte prohibits the use of Associates through Personal Service Companies (&lsquo;PSCs&rsquo;). All Associates must contract under PAYE arrangements through a Deloitte approved &lsquo;Employment Company&rsquo; (aka &lsquo;umbrella company.&rsquo;)</div></div></div></div></div></div><div></div>

Contract - AI Data Engineer (Azure)

Databricks

<div>REQ ID: FEQ127R254
Location: Hybrid &ndash; London
As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data &amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.
This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.
The impact you will have:
<ul><li>Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration</li>
<li>Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer</li>
<li>Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.</li>
<li>Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.</li>
<li>Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.</li>
<li>Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.</li>
<li>Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.</li>
<li>Reusable Assets &amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.</li>
</ul>What we look for:
<ul><li>Extensive experience in data engineering, data platforms &amp; analytics, or software engineering</li>
<li>Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks</li>
<li>Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one</li>
<li>Deep experience with distributed computing with Apache Spark&trade; and knowledge of Spark runtime internals</li>
<li>Familiarity with CI/CD for production deployments</li>
<li>Working knowledge of MLOps, ML/AI models and AI APIs</li>
<li>Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.</li>
<li>Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.</li>
<li>Documentation and white-boarding skills.</li>
<li>Experience working with enterprise clients and managing conflicts across a broad stakeholder range</li>
<li>Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.</li>
<li>Travel to customers 20% of the time</li>
<li>Databricks Certification preferred but not essential</li>
</ul><div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Senior Forward Deployed Engineer, Full Stack

<div>Req ID: CSQ127R149
Location: London, United Kingdom - Hybrid
Recruiter: Dina Hussain
We&rsquo;re hiring for multiple roles within our FDE team.
As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data &amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data.
This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy.
The impact you will have:
<ul><li>Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration</li>
<li>Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer</li>
<li>Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects that lead to a customer's successful understanding, evaluation and adoption of Databricks.</li>
<li>Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.</li>
<li>Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers' needs.</li>
<li>Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues.</li>
<li>Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.</li>
<li>Reusable Assets &amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.</li>
</ul>What we look for:
<ul><li>Experience in data engineering, data platforms &amp; analytics, or software engineering / full stack development</li>
<li>Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks</li>
<li>Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one</li>
<li>Deep experience with distributed computing with Apache Spark&trade; and knowledge of Spark runtime internals</li>
<li>Familiarity with CI/CD for production deployments</li>
<li>Working knowledge of MLOps, ML/AI models and AI APIs</li>
<li>Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.</li>
<li>Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.</li>
<li>Documentation and white-boarding skills.</li>
<li>Experience working with enterprise clients and managing conflicts across a broad stakeholder range</li>
<li>Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.</li>
<li>Travel to customers 20% of the time</li>
<li>Databricks Certification - an advantage</li>
</ul><div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Senior Forward Deployed Engineer

Legal & General

<div>
 
 Legal &amp; General (L&amp;G) is a leading UK financial services group and major global investor.
 
 
 
 
 
 We&rsquo;ve been safeguarding people&rsquo;s financial futures since 1836, and strive to build a better society, while improving the lives of our customers and creating value for shareholders.
 
 
 
 
 
 We are one of the world&rsquo;s largest asset managers and provide powerful asset origination capabilities. Together, these underpin our retirement and protection solutions: we are an international player in pension risk transfer, in UK and US life insurance, and in UK workplace pensions and retirement income.
 
 
 
 
 
 
 Who we are
 
 
 
 
 
 
 Our Retail business supports customers throughout their lives, to help them save, plan, protect and enjoy retirement.
 
 
 
 
 We&rsquo;re a leading provider of retirement and protection solutions. We aim to support our c.12.8 million policyholders and workplace members throughout their lifelong financial journeys.
 
 
 
 
 We focus on helping the customers of today and tomorrow achieve better long-term outcomes. We either talk with them directly or work with intermediaries and employers to meet their needs. We use the latest technology to connect with them quickly, efficiently and wherever possible in highly personalised ways.
 
 
 
 
 
 
 Job Description
 
 
 
 
 We&rsquo;re building a modern, enterprise‑scale data platform that helps our Retail business make smarter, data‑driven decisions every day. Our Data Operations team enables this by designing, running and continuously improving the Retail &amp; Analytics Data Hub (RADH), a strategic data platform at the heart of analytics and reporting.
 
 
 
 
 We&rsquo;re looking for a Platform Specialist to take technical ownership of RADH and help shape its future. This is a great opportunity for someone who enjoys working at the intersection of platform engineering, data architecture and Snowflake innovation, and who wants to influence how data platforms evolve at scale.
 
 
 
 
 
 What you'll be doing:
 
 
 
 
 <ul>
 <li>
 Leading the ongoing development of the Retail &amp; Analytics Data Hub as a strategic enterprise data platform
 </li>
 <li>
 Introducing and optimising Snowflake capabilities to improve performance, scalability and reliability
 </li>
 <li>
 Acting as a Snowflake subject matter expert, shaping best practice across the organisation
 </li>
 <li>
 Improving automation through CI/CD pipelines, infrastructure as code and orchestration frameworks
 </li>
 <li>
 Embedding observability across the platform, including monitoring, alerting, lineage and data quality
 </li>
 <li>
 Implementing and influencing robust governance, security and access controls in partnership with Information Security
 </li>
 <li>
 Collaborating with engineers, analysts and product teams to support platform adoption and delivery
 </li>
 <li>
 Optimising platform costs while maintaining agreed service levels for availability, performance and data quality
 </li>
 </ul>
 
 
 Who we're looking for:
 
 
 
 
 <ul>
 <li>
 Strong experience in data platform or data engineering roles within cloud environments
 </li>
 <li>
 Deep hands‑on knowledge of Snowflake and its core features and capabilities
 </li>
 <li>
 Confidence working with SQL and modern data engineering tooling and patterns
 </li>
 <li>
 Experience designing or supporting enterprise‑scale data platforms and architectures
 </li>
 <li>
 Understanding of data governance, security, access management and compliance
 </li>
 <li>
 Ability to communicate complex technical topics to both technical and non‑technical audiences
 </li>
 <li>
 A collaborative mindset with a desire to support and enable others
 </li>
 <li>
 Curiosity, adaptability and an interest in continuous improvement and emerging technologies
 </li>
 </ul>
 
 
 Whatever your role, we reward performance and behaviour with a package that looks after all the things that are important to you. Here are some of the benefits we offer:
 
 
 
 
 <ul>
 <li>
 The opportunity to participate in our annual, performance -related bonus plan and valuable share schemes
 </li>
 <li>
 Generous pension contribution
 </li>
 <li>
 Life assurance
 </li>
 <li>
 Healthcare Plan (permanent employees only)
 </li>
 <li>
 At least 25 days holiday, plus public holidays, 26 days after 2 years&rsquo; service. There&rsquo;s also the option to buy and sell holiday
 </li>
 <li>
 Competitive family leave
 </li>
 <li>
 Participate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrifice (permanent employees only)
 </li>
 <li>
 There are the many discounts we offer &ndash; both for our own products and at a range of high street stores and online
 </li>
 <li>
 We&rsquo;re creating net‑zero carbon workplaces by 2030 by investing in our sustainable, modern offices across the UK, all designed to bring people together and elevate the in‑person experience
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 At L&amp;G, we believe it's possible to generate positive returns today while helping to build a better future for all.
 
 
 
 
 If you join us, you&rsquo;ll be part of a welcoming, inclusive culture, with opportunities to collaborate with people of diverse backgrounds, views, and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel.
 
 
 
 
 We care passionately about outcomes rather than attendance and are therefore open to discussing all kinds of flexible working options including part-time, term-time and job shares. Although some roles have limited flexibility due to customer demand, we accommodate requests when we can.
 
 
 
 
 It doesn&rsquo;t matter if you don&rsquo;t meet every single criterion in this advert. Instead, think about what you excel at and what else you can bring in terms of strengths, potential and connection to our purpose.
 
</div>

Platform Specialist

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