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Title: AWS Cloud Solutions Architect Location: UK / Europe (Fully Remote) Employment Contract. Job Description: We are seeking a highly skilled Cloud Solutions Architect to join our dynamic team. The ideal candidate will have a strong background in designing and implementing cloud native applications, specifically within the banking, investment, or capital markets sectors. You will play a key role in designing scalable and secure data platforms leveraging Databricks and cloud technologies to drive business value for our clients. Domain: Banking, Investment, or Capital Markets Domain Mandatory Skills and Experience • Proven experience designing and delivering AWS cloud architecture., • Proven experience as a Solutions Architect with hands-on expertise in Databricks platform., • Proven background in cloud migration and cloud-native solutions., • Deep understanding of AWS services, particularly across security and networking., • Experience working in DevOps environments (CI/CD, automation, IaaC), driving automation and infrastructure-as-code approaches across platforms., • Extensive background working in the banking, investment, or capital markets domain., • Strong understanding of data engineering concepts, including ETL/ELT pipelines, data lakes, and real-time data processing., • Pro-actively define, optimize, automate, publish and communicate deployment patterns for migration., • Support engineering teams in optimizing the migration path., • Documentation of deployed systems, scripts and other working practices to enable, re-use and support users across the world, • Working closely with stakeholders to translate mission-critical requirements into robust technical solutions., • Databricks Certified Associate Developer or Professional certification., • AWS Certified Solutions Architect (Associate or Professional) or relevant AWS data certifications., • Experience with MLflow, Delta Lake, and advanced Databricks features., • Familiarity with DevOps practices and Infrastructure as Code (IaC) tools such as Terraform or CloudFormation., • Exposure to regulatory and compliance requirements in financial services data management., • Design and architect end-to-end Databricks-based data solutions tailored for banking, investment, or capital markets clients., • Collaborate with business stakeholders to understand requirements and translate them into technical solutions., • Lead the implementation of scalable data pipelines, ensuring security, performance, and compliance., • Provide technical guidance and best practices to internal teams and clients., • Stay updated on emerging trends in data engineering, Databricks, and cloud technologies.

Head of Data Engineering | B2B Intelligence | Remote | Build a 0-to-1 Global Data Platform 1️⃣ The Opportunity This is a rare chance to join a highly profitable, scaling B2B information services firm as they build a brand-new intelligence platform. This venture is designed to disrupt legacy market databases by merging proprietary human insights with massive public datasets. The data engineering function is transitioning from a reactive service desk into a proactive, product-minded profit center. You will be the technical visionary responsible for architecting a modern data mesh from the ground up. You will have the autonomy to make core architectural decisions and the leadership mandate to rebuild a dedicated engineering squad. This is a "founder-level" opportunity to create a career-defining product in a market growing 15% year-on-year. 2️⃣ What You’ll Be Doing • Architect the modern data stack using AWS, Databricks, Snowflake, dbt, and Iceberg., • Write high-quality code and lead by example as a hands-on technical authority., • Transform the data function into a scalable, product-led engineering ecosystem., • Establish technical guardrails that allow domain teams to operate with autonomy., • Partner with Data Science to build robust pipelines for complex machine-learning models., • Mentor and grow a team of senior engineers within a high-performance culture., • Leverage AI coding tools to accelerate development and drive rapid innovation., • Own the long-term technical roadmap and evolve the platform as it scales globally. 3️⃣ What They’re Looking For Essential • Proven experience scaling data pipelines and architectures within a high-growth environment., • Deep technical expertise in modern tools like Airflow, dbt, and cloud data warehouses., • The ability to balance high-level architectural strategy with hands-on engineering., • A product-led mindset that prioritizes business value over purely technical metrics., • Experience building or leading high-performing engineering teams., • Experience within alternative data, analytics startups, or data-heavy B2B platforms., • Familiarity with open table formats like Apache Iceberg. 4️⃣ Why Join? This role offers the rare stability of a profitable firm combined with the "greenfield" excitement of a startup. You aren't maintaining legacy code; you are building the foundation of a new asset class. • Impact: Move from a service-based function to a strategic, revenue-driving product owner., • Autonomy: Full ownership of the stack and the architectural "consequences" of your choices., • Growth: Work in a recession-resilient industry with consistent double-digit annual growth., • Flexibility: Fully remote working environment with a focus on high-impact output., • Compensation: Highly competitive salary with flexibility for elite profiles.

AI Engineer Job Tenure: Full-time, permanentSalary: CompetitiveCompany Description Ready to join a team thats leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good! We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold dedication for digital innovation, were transforming the way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, youll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production. Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value. Youll have the opportunity to work on a variety of impactful projects across the entire enterprise. We are seeking an innovative individual who shares our vision to fix insurance for good. What you’ll do: Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits. Support the data science and AI team in deploying scalable AI applications across the enterprise. Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS. Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries. Develop prompts, fine-tune models, and track results. Evaluate third-party GenAI and LLM technologies for cost-benefit analysis. Deliver projects from scoping and R&D to production deployment and benefit measurement. Follow and contribute to standards for code quality, R&D, and model development. Engineer data for optimal AI application performance. Advise peers and senior management on business and customer impact. Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL. Liaise with third-party partners and stay updated on field advancements and regulations. Collaborate with data governance and data management teams on data requirements. Qualifications What we’d love you to bring: You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences. You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors. Knowledge of OO programming and software design, i.e., SOLID principles. Knowledge and working experience of AGILE methodologies. Familiarity with Databricks, and RAG application architecture a plus Experience with latency optimisation and quantisation preferred Additional Information What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises your hard work and contributions to esure’s success. 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday. Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances. Company funded private medical insurance for qualifying colleagues. Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members. We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources. Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities. Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues. We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work. And much more; See a full overview of our benefits here Reward and benefits | Esure Group PLC We are committed to creating an inclusive and diverse workplace where everyone feels valued, respected, and empowered. We celebrate individuality and create spaces where unique backgrounds and experiences can come together. We believe that diverse perspectives drive innovation, in turn enabling us to better serve our customers, community and build a stronger organisation. Our commitment to inclusion extends to every part of our business, from hiring practices to professional growth opportunities, ensuring equal access and support for all.

Digital Data Senior Manager, Data Governance, Data Architecture, Data Engineering, Azure, Fabric, Databricks, Manchester, HybridDigital Data Consultant required to work for a highly ambitious and fast-growing Consulting function, based in Manchester on a hybrid basis.

Digital Data Director / Consultant, Data Architecture, Data Engineering, Azure, Fabric, Databricks, Manchester, HybridDigital Data Director / Consultant required to work for a highly ambitious and fast-growing Consulting function, based in Manchester on a hybrid basis.

You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable.

Senior Data Engineer- Spark & Databricks Optimisation- Up to £55K. Databricks (but AWS, Azure or GCP.

You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable. Owning Databricks engineering, administration and platform optimisation. Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory.

Digital Data Director / Consultant, Data Architecture, Data Engineering, Azure, Fabric, Databricks, Manchester, Hybrid.

This is a standout opportunity to take ownership of a modern data platform and drive the evolution of a Databricks-centric environment at scale. You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable. Owning Datab

A leading IT consulting firm in Salford is seeking a Data Engineer to design and develop metadata-driven data pipelines using Azure Data Factory and Databricks.

We work with Databricks most strategic customers to design, build, and productionize first-of-their-kind data and AI solutions. Databricks Data Intelligence Platform and other common software stacks. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50%

Azure data platform – Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage; infrastructure as code for data workloads (Terraform or Bicep). Databricks – Delta Lake, Unity Catalog, job cluster vs interactive cluster trade‑offs, cost‑aware compute management,

You will facilitate onboarding, lead technical strategies, and manage complex customer accounts, ensuring success and value extraction from Databricks' offerings.

A prominent technology recruitment firm in Central London is seeking a Databricks Lead Engineer to drive a major data platform re-engineering programme. Strong experience with Databricks, Unity Catalog, and AWS is required.

A leading data and AI company is looking for a Staff People Partner to act as a strategic advisor.This role focuses on building high-performance cultures, managing talent, and driving organisational excellence amidst rapid growth and AI-driven changes.The ideal candidate will have proven HR experien

Databricks’ European footprint. At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.

This hybrid role requires deep expertise in Data Engineering with a focus on Azure Databricks, Python, and Spark.

A leading tech solutions provider is seeking a Technology Architect specializing in Databricks to join their team in London.

Candidates should have proven experience in data architecture or lead data engineering, deep expertise in Databricks, and advanced SQL performance tuning skills.

The ideal candidate will have strong skills in Databricks, Azure Data Factory, and Python, helping to design and deliver quality data solutions within the firm's data office.

This role involves working on a cloud-native data platform with technologies such as AWS and Databricks.

This role focuses on designing and delivering advanced Databricks solutions within the AWS ecosystem. A leading technology consultancy in the United Kingdom seeks an experienced SC Cleared Databricks Engineer to join their team.

Senior Azure Databricks Data Engineer | Commodities & Energy Trading | Greenfield Next-Gen Lakehouse | Up to £110K + Bonus + Benefits. Architect and build scalable data solutions using Snowflake, Databricks, Synapse/Fabric, and PySpark.

A leading data and AI company is looking for a Strategic Enterprise Lakebase Account Executive in London.This high-impact role involves driving new revenue for Lakebase, an operational data solution.Candidates should have extensive SaaS sales experience and a proven track record in selling operation

Ideal candidates will have over 3 years of experience, strong skills in Python, Databricks, and AWS, and be advanced in SQL.

Experience with Databricks, along with proficiency in Python and R, is essential for success in this role, which offers opportunities for mentoring and collaborative projects.

We are a trusted partner for Databricks and Microsoft, working with top global companies. Senior Data Engineer (Databricks). Databricks EMEA Emerging Business Partner of the Year.

A global financial services firm in Greater London seeks a Lead Data Engineer to design and deliver data solutions.You will develop, test, and maintain essential data pipelines while ensuring data security and stability.The ideal candidate has strong experience with AWS, Python, and SQL, and will wo

The role focuses on modernising data platforms with Azure and Databricks, building scalable pipelines, and optimising analytics solutions. Candidates should excel in Databricks and possess experience in multi-client delivery.

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the developmen

A leading financial services firm in Greater London is looking for a skilled Data Engineer to design and optimize data pipelines using Databricks and AWS. The ideal candidate will possess proficiency in Databricks along with strong problem-solving capabilities.

A leading data and AI company in Greater London seeks an experienced Engineering Manager to lead and support a talented engineering team.The role requires at least 5 years of engineering experience and a minimum of 2 years in engineering management.Responsibilities include hiring, career development

Candidates should have extensive experience in data engineering and a solid track record with Databricks projects. A leading technology firm is seeking an experienced Solutions Architect specializing in Databricks to work on fully remote contracts.

Strong experience in Databricks Data Platform for distributed data processing. Design and implement scalable data platforms and pipelines using Apache Spark on Databricks. Build and manage Databricks Workflows for orchestration, scheduling, monitoring, and error handling.

The ideal candidate has strong skills in Databricks, Python, and SQL, along with a proven record of mentoring others. This hybrid role involves designing and maintaining data pipelines on Databricks, with a focus on integrating data and optimizing workflows.

The position involves designing and implementing scalable data platforms with a strong focus on Databricks and Azure Data Factory.

The ideal candidate will have solid experience in Databricks, SQL, and Spark, as well as a good understanding of data modelling and pipelines. A data consultancy in Greater London is looking for a Data Engineer to build data solutions using Databricks in a hybrid role.

You will develop 'technical champions’ within our top Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers achieve tangible, data-driven outcomes through our Databricks Data Intelligence Platform, enabling dat

To learn more, follow Databricks on Twitter, LinkedIn and Facebook. At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.

This high-impact role sits within the AI Go-To-Market team and partners closely with Enterprise Account Executives to drive adoption of Databricks AI/BI and Genie. Databricks AI/BI and Genie empower business users to securely interact with governed data using natural language, transforming the data

Enable transformational initiatives: Guide strategic customers through their end‑to‑end big data journeys—migrating from legacy platforms and deploying industry‑leading data and AI applications on the Databricks platform. Consult on architecture & design: Provide thought leadership on soluti

A leading data and AI company in London is seeking a Senior Solutions Architect to oversee technical engagements in the Energy sector.This role requires engagement with a globally distributed customer base and coaching of junior staff.Ideal candidates will have a strong background in Data Science an

An innovative consultancy in London is seeking a Data Architect to lead the design and implementation of Databricks Lakehouse solutions. A strong background in Databricks, data modeling, and cloud environments like Azure is essential.

Architect and implement Databricks Lakehouse solutions end‑to‑end. Optimise Databricks performance, security, and cost efficiency. Strong Databricks and Lakehouse architecture experience.

A global information and analytics company seeks a Software Engineer III to develop Java-based backend services and implement Scala/Spark pipelines for metric computations.This role emphasizes collaboration within a cross-functional team and requires experience with RESTful APIs.Flexible working hou

Reporting to the Director, Sales, as an Enterprise Account Executive at Databricks you will come with an informed and compelling point of view on the Big Data, Advanced Analytics and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provid

Databricks Engineer – Fully remote – 6‑month contract – £550‑£650 per day – Outside IR35. Building and optimising Databricks pipelines. Strong Databricks and PySpark experience.