Trabajos databricks en YorkCrear alertas

About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “_,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. What You Will Do TetraScience is looking for a Technical Enablement Lead / Developer Relations Lead for the EU. The ideal candidate should have expertise in customer and field enablement, adult learning principles, educational program creation, use case architecture and implementation, and a genuine passion for Data and AI technologies. The candidate should be driven by a desire to educate and inspire, and have the technical skills to quickly prototype new ideas and solutions. And finally, the candidate should seek to ensure developers can be successful with minimal friction, and champion product and process changes that make this a reality. You will work to understand the needs of different user personas (data scientists, machine learning engineers, scientists and R&D IT analysts), analyze their data environment, assist in the design and implementation of self-service solutions, and create training artifacts to accelerate adoption and growth. This is a technical enablement role, interfacing between internal and external stakeholders including; sales teams, technical teams, customers and potential customers. Your expertise not only covers the technical aspects of data integration, storage, access and architectures but also includes the skills to convey complex technical concepts in a way that aligns with business needs and potential solutions. Your work will directly impact how developers adopt TetraScience’s Scientific Data & AI Cloud, leverage new platform capabilities, and innovate in our ecosystem. You’ll collaborate closely with Product, Platform Engineering, Field Engineering, Customer Engagement & Support, Sales, and Marketing teams to empower customers, technical field team members, and all customer-facing technical roles through exceptional enablement programs. You’ll set the strategy for EU developer experience and community, including partners, customers, and independent developers; and be responsible for how developers discover, onboard, build, and scale applications. This role will be pivotal in growing our developer ecosystem, gathering crucial feedback to inform product development. Your work will educate and inspire the biopharmaceutical industry as to the power of an open ecosystem where precisely engineered scientific data flows freely and without restrictions. Your success in this role will directly shape TetraScience's growth trajectory and market position while ensuring our platform is accelerating science and patient outcomes across countless use cases. Responsibilities • Scientific & Domain Expertise, • Deep understanding of pharmaceutical/life sciences R&D workflows, data, and scientific principles, • Ability to engage credibly with data scientists, lab scientists, and R&D IT stakeholders, • Technical Skills, • Able to code and build practical solutions using scientific data platforms, pipelines, and apps, • Translate complex technical problems into working implementations within a pharma context, • Training & Enablement, • Design and deliver in-person training sessions, workshops, and demonstrations for both technical and non-technical audiences, • Create supporting materials: tutorials, documentation, sample code, and best practice guides, • Communication & Collaboration, • Translate technical and scientific concepts into clear, accessible language for non-technical stakeholders, • Collaborate with Product, Engineering, and UX teams to surface customer feedback as actionable requirements Must Have: • 2+ years professional experience in a Life Sciences company and/or a scientific background, • 3+ years professional experience as data scientist, scientific data engineer, or solutions architect, • 2+ years professional experience in technical enablement and/or developer relations, • Solid experience running large scale enablement programs, and how to evangelize and roll out the programs effectively across the organization, • Exceptional communication, storytelling, and presentation skills, coupled with a strong executive presence and the ability to effectively influence and engage large audiences, • Strong technical background with hands-on experience in SQL, Python, and modern data stack technologies, • Deep understanding of drug discovery, development, and manufacturing processes, • Ability to travel regularly to customer locations and whiteboard the product strategy with them, • Experience with data governance, privacy, and compliance considerations, • Exceptional stakeholder management skills with ability to influence C-level executives, • Ability to deal with ambiguity and thrive in a constantly changing and evolving work environment, • Experience working with high-bandwidth and high-energy professionals, • Insatiable curiosity to learn, develop, and grow year-over-year, • Great interpersonal skills and an ability to coordinate and drive initiatives supporting multiple teams Nice To Have: • Experience at high-growth SaaS companies with complex data needs, • Previous experience as a practicing bench scientist is highly valued, • Previous experience within a biopharma company in an IT related function is a big plus, • Background in technical support / field service highly valuable - this demonstrates your ability to internalize complexities and tailor explanations for a given audience, • Familiarity with enterprise sales processs within the pharmaceutical sector, • Experience with AWS application stack, • Competitive Salary and equity in a fast-growing company., • Supportive, team-oriented culture of continuous improvement., • Generous paid time off (PTO)., • Flexible working arrangements - Remote work. We are not currently providing visa sponsorship for this position

Broster Buchanan are partnered global business within the food industry with a turnover of £8Bn+ who are looking for a Fabric Data Engineer to join as they set up an exciting new project team within the group. This would suit an experienced Azure Data Engineer with good Fabric experience looking to join a new, growing team with plenty of exciting projects and cutting tech on the horizon. This will be a mostly remote role but would suit someone near Liverpool, Birmingham or London as there will be ad hoc travel into the office when required for onsite meetings, workshops etc. 1-2 times per month. A salary of £55k - £65k + 10% bonus is on offer. Responsibilities: • Help set up and deliver the future direction of strategy and approach to the management, storage and usage of data, • Collaborate with their wider technology and business teams to ensure goals and visions are aligned and achieved, • Help with setting up the data warehousing and lake processes, including collaborating with their architecture teams to figure out what that will look like, • At times, guide and mentor the junior data engineers within the team, reviewing their ideas, providing feedback and identifying their knowledge gaps to support their development, • Design, develop, and manage data pipelines using Fabric Data Factory, • Leverage Fabric Data Integration for seamless data source integration, • Implement and maintain robust data governance frameworks with Fabric Data Management, • Create and maintain interactive dashboards and visualizations in Power BI and Tableau, • Collaborate with cross-functional teams to gather requirements and translate them into technical solutions, • Monitor and troubleshoot data processes, ensuring performance and reliability, • Document data workflows, processes, and system architecture Requirements: • Good experience with Azure technologies for Data Engineering, with 12 months or more using Fabric tools as part of real world projects, ideally through the end to end project lifecycle, • Strong experience with setting up and using big data storage solutions, including data warehouses, data lakes or data lake houses, • Able to build and demonstrate a solid understanding of the concepts of real time data streaming, batch data processing and data transformation processes, • Experience with core tools such as Data Factory, Databricks, Synapse, Kafka and Python, • Any exposure to data migration/ETL would be highly beneficial, with SQL/T-SQL, SSIS, SSRS and SSAS, as there is a large data migration project planned, • Any previous experience with setting up data governance and processes would be highly beneficial, • Good proficiency in Power BI and Tableau, • Strong knowledge of data integration techniques and ETL/ELT processes, • Experience with data modelling, data warehousing, and data governance best practices

About the Role Fivetran offers data pipelines to power the modern data stack for thousands of companies and we are scaling our co-selling across our Strategic Partnerships with Snowflake and Databricks. We are looking for a Technology Partner Sales Manager to own Fivetran co-selling alongside Snowflake and Databricks. This role helps to accelerate our growing sales engagements across these partners resulting in an improved customer experience and mutual revenue growth. This is a full-time, remote position based out of London. Technologies You’ll Use Salesforce, Crossbeam, Suger, Google Docs are your primary tools and technologies you’ll be using in the role. What You’ll Do Own partner sales development with Snowflake + Databricks across EMEA, reporting directly to GM EMEA Actively engage with sales leadership at Snowflake & Databricks to set up QBRs, Happy Hours, Team Trainings, Regional Events Manage the relationships across Snowflake & Databricks to ensure 3rd line, 2nd line, and 1st line managers are meeting regularly with Fivetran leadership to keep momentum and close alignment on deals and GTM strategies Collaborate with Fivetran Sales to successfully execute on a "top down, bottoms up" motion with CDW partners Consistently review open pipeline of Snowflake & Databricks (via Crossbeam) to identify where Fivetran AEs are not engaged Train Snowflake & Databricks teams on "Why Fivetran". This will also be supported by Sales Build relationships with senior partner sales leaders, facilitate engagements and own the regional technology partner messaging and co-selling execution Work with global Technology Partner Managers to understand co-sell processes specific to each partner. Identify ways to improve support and scale across each partner such as, sales facing resources, system automation and analytical insights useful in successful partner engagements Proactively identify top accounts and customers for Fivetran sales teams to partner with at Snowflake and Databricks. Define, maintain and improve co-sell operational components including sales facing resources, system automation along with analytical insights useful in successful partner engagements Connect the dots between Fivetran sales and our partner sales teams to ensure the Fivetran sales team is solution selling with our partners and delivering a delightful customer experience Focus on growing revenue growth and pipeline creation across both Fivetran and our Technology partners in the region Skills We’re Looking For 7-10 years of experience in sales, partnerships, alliances, or business development, with a strong focus on enterprise-level engagements Exceptional strategic thinking and planning abilities, with a history of driving business results. Strong communication skills, both verbal and written, with an ability to engage various stakeholders. Proficient in using CRM tools to manage partner interactions. Proven leadership skills with the ability to influence cross-functional teams and stakeholders. Extremely organized, able to juggle lots of things at once while not letting anything drop and thinking about how to scale and service a growing group of Fivetran sales executives. #LI-HYBRID #LI-#LI-SG1

Senior Data Engineer| AWS/Databricks/PySpark | London/Glasgow (Hybrid) | August Start Role: Senior Data Engineer Location: This is a hybrid engagement represented by 2 days/week onsite, either in Central London or Glasgow. Start Date: Must be able to start mid-August. Salary: £80k-£90k (Senior) | £90k-£95k (Lead) About The Role Our partner is looking for a Senior Data Engineer to join a high-impact engineering team delivering scalable data solutions for complex marketing and customer insight use cases. This is an opportunity to work on cutting-edge data pipelines, cloud-native platforms and real-time data flows in a collaborative, forward-thinking environment. You’ll be involved in designing and building production-grade ETL pipelines, driving DevOps practices across data systems and contributing to high-availability architectures using tools like Databricks, Spark and Airflow- all within a modern AWS ecosystem. Responsibilities • Architect and build scalable, secure data pipelines using AWS, Databricks and PySpark., • Design and implement robust ETL/ELT solutions for both structured and unstructured data., • Automate workflows and orchestrate jobs using Airflow and GitHub Actions., • Integrate data with third-party APIs to support real-time marketing insights., • Collaborate closely with cross-functional teams including Data Science, Software Engineering and Product., • Champion best practices in data governance, observability and compliance., • Contribute to CI/CD pipeline development and infrastructure automation (Terraform, AWS DevOps)., • Provide input into technical decisions, peer reviews and solution design. Requirements • Proven experience as a Data Engineer in cloud-first environments., • Strong commercial knowledge of AWS services (e.g. S3, Glue, Redshift)., • Advanced PySpark and Databricks experience (Delta Lake, Unity Catalog, Databricks Jobs etc)., • Proficient in SQL (T-SQL/SparkSQL) and Python for data transformation and scripting., • Hands-on experience with workflow orchestration tools such as Airflow., • Strong version control and DevOps exposure (Git, GitHub Actions, Terraform)., • Familiar with data quality tools and metadata/cataloguing (e.g. Great Expectations, Unity Catalog)., • Beneficial: MarTech domain knowledge. Notable: This is a hybrid engagement represented by 2 days/week onsite, either in Central London or Glasgow. You must be able to start in August. Senior Data Engineer| AWS/Databricks/PySpark | London/Glasgow (Hybrid) | August Start

Hi, we’re Smoove, part of the PEXA Group.Our vision is to simplify and revolutionise the home moving and ownership experience for everyone. We are on a mission to deliver products and services that remove the pain, frustration, uncertainty, friction and stress that the current process creates. We are a leading provider of tech in the property sector - founded in 2003, our product focus has been our conveyancer two-sided marketplace, connecting consumers with a range of quality conveyancers to choose from at competitive prices via our easy-to-use tech platform. We are now building out our ecosystem so consumers can benefit from our services either via their Estate Agent or their Mortgage Broker, through smarter conveyancing platforms, making the home buying or selling process easier, quicker, safer and more transparent Why join Smoove?Great question! We pride ourselves on attracting, developing and retaining a diverse range of people in an equally diverse range of roles and specialisms – who together achieve outstanding results. Our transparent approach and open-door policy make Smoove a great place to work and as our business expands, we are looking for ambitious, talented people to join us. We are looking for a technically proficient Senior Data Engineer to join our growing Data team. Your primary focus will be on ensuring data quality, stability, and reliability — from the moment data arrives in its rawest form to when it is used in decision-making dashboards and customer-facing reports. You will optimise the transformation pipeline from start to finish, guaranteeing that datasets are robust, tested, secure, and business-ready.Our data platform is built using Databricks, with data pipelines written in PySpark and orchestrated using Airflow. You will be expected to challenge and improve current transformations, ensuring they meet our performance, scalability, and data governance needs. This includes work with complex, nested data structures, ensuring they are reliably parsed and transformed. Experience in managing sensitive data (PII) and implementing GDPR policies is required. You’ll work closely with analysts, engineers, and business stakeholders to ensure that datasets are not only accurate but also trusted. You will collaborate with product and engineering teams to incorporate data from new products into our core business datasets, ensuring that these new sources meet our data standards and are quickly usable for business intelligence. You’ll help put controls in place — such as access policies, metadata layers, and automated data quality checks — to ensure long-term stability. Experience with a data governance platform like Alation is desirable. While predominantly remote / home based the team meet up to 20-25 days per year for meaningful collaboration in either Leeds or Thame. • Ensure end-to-end data quality, from raw ingested data to business-ready datasets, • Optimise PySpark-based data transformation logic for performance and reliability, • Build scalable and maintainable pipelines in Databricks and Airflow, • Implement and uphold GDPR-compliant processes around PII data, • Collaborate with stakeholders to define what "business-ready" means, and confidently sign off datasets as fit for consumption, • Put testing strategies in place to detect data issues early and often, • Contribute to access management, metadata management, and wider data governance practices, • Help shape our approach to reliable data delivery for internal and external customers, • Extensive hands-on experience with PySpark, including performance optimisation, • Deep working knowledge of Databricks (development, architecture, and operations), • Proven experience working with Airflow for orchestration, • Proven track record in managing and securing PII data, with GDPR compliance in mind, • Experience in data governance processes; Alation experience preferred, but similar toolswelcome, • Strong SQL skills and experience optimising complex queries, • Strong experience in handling and transforming semi-structured data, • High competency in programming, with a focus on clean, efficient, and production-quality code, • Demonstrated ability to work with stakeholders to understand data needs and guide the validation and delivery process, • Experience implementing and maintaining data quality tests and monitoring solutions, • Strong verbal and written communication skills, • Ability to think holistically about data reliability and how it serves business decisions £65,000 - £75,000 a yearSound like you? We at Smoove are ready so if this role sounds like you, apply today. GDPR Compliance Digital Completion UK Limited (trading name “PEXA”), Optima Legal Services Limited (trading name "Optima Legal") and Smoove Limited (a holding company which comprises of the following wholly owned trading Subsidiary companies: United Legal Services Limited, United Home Services Limited, Legal-Eye Limited, and Amity Law Limited) are all owned directly by DigCom UK Holdings Limited, which is a wholly owned Subsidiary of PEXA Group Limited in Australia (ACN 140 677 792; ASX: PXA) (referred to collectively as “PEXA Group”). When we process your applicant personal data for recruitment purposes, we do so as a controller. If as part of the recruitment process, we share your personal data with another company within the PEXA Group, that company may process your personal data as either an independent controller or, in certain circumstances, a joint controller. By applying for this role, you consent to us processing your personal data in accordance with the UK General Data Protection Regulation ("UK GDPR") and the Data Protection Act 2018, and further information can be found in our privacy notice_.

Job Title: Data Engineer Location: UK Job Type: Full-time Scrumconnect is a leading force in technology consultancy, proudly contributing to over 20% of the UK’s most significant citizen-facing public services. Our award-winning team has made a substantial impact, delivering more than 64 services in the past two years alone. This work has not only reached over 50 million citizens but also achieved considerable savings for the taxpayer, amounting to over £25 million. At Scrumconnect, we foster a community of talented consultants who thrive on collaboration, sharing knowledge, and continuous learning to address and solve complex challenges. Our mission is to combine advanced software engineering, human-focused design, and data-driven insights to deliver unparalleled service to our clients. We are looking to fill the position of Data Engineer to help develop and maintain data products. Data Engineering teams are responsible for the delivery and operational stability of the data products built and provide ongoing support for those products. Data Engineers work within, and contribute to, the overall data development lifecycle process as part of multi-functional Agile delivery teams focused on one or more products. Role: Design, build, and operate simple, repeatable ETL data pipelines within distributed processing environments and cloud platforms, as well as localized single-node processing environments. Develop and produce prototyped then productionized code that can be deployed across a range of ETL, data validation, and other data production processes. Develop understanding of the native tooling of one or more of: GCP, Azure, AWS. An intermediate or better level coding in one or more mainstream coding languages (i.e., Python, SQL, Java, Scala, and R), and critically review the code of other data engineers. Develop code for a range of data products including data matching, rule development, scans, operational outputs. Participate in development and maintenance of in-house code libraries. Undertake unit testing to support common code development. Review business requirements to ensure they are clear and robust, and transform requirements into reusable production-ready code and/or effective data models. Understand the key principles of database design and be able to resolve technical problems in databases, data processes, data products, and services as they occur. Initiate actions, monitor services, and identify trends to resolve problems. Apply correct techniques in normalizing data and building robust relational structures in database products. Undertake basic data analysis, for example, for data profiling, QA, or problem resolution. Support queries from end users on data quality issues affecting data production; communicate issues and blockers to develop solutions. Undertake source system analysis and data profiling to confirm data quality and ensure accurate metadata. Understand relevant data sources, tools, and systems. Work with experts to develop validation frameworks for both simple and complex data sources. Communicate with customers, for example, to update on progress or confirm requirements. Using a working knowledge of cloud data engineering tools in assisting with the development of data pipelines, products, and automation processes. Work with other team members in development of tool performance logging and monitoring. Work with other team members in applying engineering team and community best practice in data products and pipelines. Experience predicting and advising on technology changes in the engineering toolset(s) and platform(s) you work on. Work with the team in implementing the transition to modern data platforms including Data Warehouse, Lakehouse, across the data products, pipelines, and processes you are responsible for. Engage with other professional communities (Data Science, Architecture, etc.) to identify emerging and cross-community issues affecting your role and escalate as necessary. Describe technical, data, pipeline, and production issues to colleagues of different specialisms. Communicate within the team and across teams to monitor expectations around delivery of data engineering, products, and pipelines, blockers, priorities, and issues. Escalate issues and blockers in delivery proactively. Familiar with developing data pipelines and products for very large volume 'big data' series using a range of native engineering tools and practices and coding approaches. A working knowledge of engineering standards across a platform and native toolset. Experience implementing these standards in the day-to-day role and keeping outputs up-to-date with these. Typical Data Engineering Experience required (5+ yrs): Knowledge and experience of Azure/AWS Cloud data solution provision. Proficient in SQL. Ability to develop and deliver complex visualisation, reporting and dashboard solutions using tools like Power BI. Enterprise-scale experience with ETL tools (Informatica and or similar). Experience of data modelling and transforming raw data into datasets and extracts. Experience of working in a large project /scale complex organisation and knowledge of migrating legacy capabilities. Experience in Agile. Ability to analyse and collect information and evidence, identify problems and opportunities, and ensure recommendations fit with strategic business objectives. Experience of building team capability through role modelling, mentoring, and coaching. Ability to manage relationships with non-technical colleagues and can work in a collaborative, inclusive way. Ability to design, write, and operate ETL pipelines, in the context of distributed processing, applying coding, data, and documentation standards, in the language required by the business area. Understanding of the principles of data processing in a distributed and or cloud platform, and ability to use this understanding to ensure robust coding in a distributed or cloud environment. Able to write clean, efficient and well documented code for data processing tasks to a specification. Able to use Git for code version control to pull and push and review merge requests for team and own code. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Experience of one or more programming/coding languages listed: Python/PySpark, SQL, Proc SQL, NoSQL, MySQL, SQLite, Spark SQL, Hive SQL, PostgreSQL, SAS, SAS E-guide, Scala, RegEx, Java, R Investigate problems in systems, processes and services, with an understanding of the level of a problem, for example, strategic, tactical or operational. Undertake data profiling and source system analysis for data evaluation, issue resolution or data standardisation. Use metadata repositories to complete complex tasks such as data and systems integration impact analysis. Good knowledge of database structures, practices, principles of database integrity etc. Basic knowledge of applying database principles and SQL coding across a range of platform database and data querying tools (i.e. SQL Server, Cloud SQL, Big Query, Hive, Athena etc.) Show an awareness of opportunities for innovation with new tools and uses of data. Experience in more than one of the following tools is required for Engineers engaging in BI development: Plotly, R Shiny, Tableau, QlikView/Qlik sense, Power BI, SAP, Business Objects, MicroStrategy Experience of several of the following tools: NiFi, Hbase, Bash, Assist, Putty, Neo4J, Spark , Kafka, HDFS, Oozie, Git Hub, Unix, Hadoop, Impala, DoJo, Flume, Elastic, Logstash, Kibana, Airflow, Glue, Big Query, Athena, CML, Hive, Informatica, CuteFTP Ability to explain and communicate technical concepts in non-technical language. Explain the types of communication that can be used with internal and external stakeholders, and their impact. Design, build and test data products based on feeds from multiple systems, using a range of different storage technologies, access methods or both. Able to explain and implement the concepts and principles of data modelling. Ability to create and run simple unit tests. Desired Qualifications Certifications in AWS, Azure, Databricks, or related technologies. Example _ Experience with public sector data initiatives and compliance requirements. Knowledge of machine learning and artificial intelligence concepts. Your working time at Scrumconnect will be split between multiple locations, including from our HQ and hub locations, client site or home. Travel requirements vary in frequency and take into account requirements of your work, our clients and the team. We welcome candidates from all identities, attributes and backgrounds to thrive with us. The diversity of our people should be reflected in the impact we deliver. Join us at Scrumconnect, where your highly demonstrable skills and expertise will drive the future of user-centred design in public services.

Databricks, AWS, Python, Pyspark, data modelling.Minimum years of experience: 7 years.Must have hands-on experience in designing, developing, and maintaining data pipelines and data streams.Must have a strong working knowledge of moving/transforming data across layers (Bronze, Silver, Gold) using AD

Qliksense Developer Certain Advantage are hiring for a Qliksense Developer based in London. This role is on an initial contract till the end of the year basis and is office based The company: We’re working with a business that’s on a strong growth trajectory, backed by ambitious plans. With a commitment to innovation and excellence, they are poised to make a significant impact in the industry. The role As a Senior Analytics engineer you are a subject matter expert, who designs & builds analytics solutions and mentors junior engineers. You are also the key person to convert the Vison and Data and Analytics Strategies into IT solutions and deliver them. • Design, build and implement POCs, prototypes and full-fledged UX solutions and strategies, • Communicate with key stakeholders to drive clarification of requirements and to promote UX designs and solutions, • Expert knowledge in QlikSense & Qlik Cloud Analytics to deliver complex, fast moving datasets to high value trading teams., • Support the design, e.g., by analysing user journeys and drive towards simplification and automation, • Enable high quality & compelling story telling through creation of strong, simple to understand data visualizations, • Document technical solution design and strategy documentation, • Run quality assessments of counterparts’ design, • Adhere to the organisations Release and Change process The individual: • Expert knowledge of authoring/troubleshooting SQL/Azure/Databricks queries, • Expert knowledge and application of general and tool specific connectivity, data modeling, source data procurement strategies (Database, import/cached), security configuration, performance tuning, usage of right visuals, layout optimization, mobility, scripting and integrating advanced analytics, • Knowledge of upcoming trends in tools and technology, • Gas/Power Trading knowledge - Short-term trading, physical assets trading (CCGT, Wind, Solar, Battery), • Risk - Modelling & understanding of risk & risk management., • Commodity Modelling - Energy (power, gas, environmental products) and meteorology., • Skilled at one of the following secondary visualization tools - (at least one of the following – (1) Power BI and Azure Analysis Services (AAS), (2) Spotfire, (3) SAP Analytics Cloud) Does this sound like your next career move? Apply today. Working with Certain Advantage We go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to certainadvantage.co.uk and register for job alerts and career guidance tips.

Technical Data Analyst - Databricks Migration. Leading Insurance business is looking for an experienced Technical Data Analyst to join a major data transformation programme, supporting the migration of data platforms to Databricks within an Azure environment. Strong Databricks experience, ideally wi

This role demands proven leadership in data engineering with strong skills in Python and Databricks.

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. 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 orig

The ideal candidate has significant experience with Databricks and consultancy skills, capable of leading engineering teams and delivering high-quality solutions in a remote setting.

We are seeking a Data Engineer with a strong focus on the implementation, configuration, and use of Databricks to deliver scalable, secure data platforms and actionable insights. Using Databricks, SQL, and analytical tools to create high quality datasets suitable for insight and visualisation. Your

Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real‑time, transactional, and AI‑powered applications directly on governed enterprise data. This is a highly visible role that collaborates closely with Global Sa

A leading financial services organisation is seeking a Data Integration Lead to enhance its data platform, focusing on scalable integrations between Databricks and Salesforce. The ideal candidate must demonstrate strong experience in data engineering, with hands-on expertise in Databricks and Salesf

Databricks fosters an inclusive environment and offers comprehensive benefits to its employees.

Limited is hiring a Data Solution Architect specializing in Databricks, to join their team in the UK. The ideal candidate will bring 7+ years of experience in data architecture and possess strong expertise in Databricks and Apache Spark.

Databricks is the data and AI company, and more than 10,000 organizations worldwide — including over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Represent Databricks as a thoughtful, credible sales leader in the Dig

Databricks is seeking a strategic alliance leader to own and scale our partnership with Accenture across EMEA, while orchestrating our relationship with Avanade. This pivotal role is crucial to enhancing the influence of Databricks in the Data & AI ecosystem.

A leading data and AI company is seeking a Strategic Alliance Leader to manage and grow the alliance with Accenture across EMEA.This pivotal role demands over 12 years of experience in enterprise software, with a proven track record of executing joint go-to-market strategies that drive measurable re

Maxwell Bond is looking for an experienced Data Architect to shape and deliver Databricks-based platforms.

Solutions Architect to join their Lakebase team.This role focuses on enhancing product market fit and driving revenue growth while collaborating with account teams on strategic engagements.Candidates should have over 10 years of OLTP expertise and be proficient in SQL and Python, with experience in

A leading data and AI company based in London is seeking a Technical Advisor to engage with senior stakeholders in the startup ecosystem.This role involves building relationships with CTOs and VPs of Engineering while driving awareness of the company's offerings.The ideal candidate has over 10 years

The ideal candidate will have experience with team leadership, Databricks or Snowflake, and modern cloud platforms like AWS, Azure, or GCP.

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. Individuals looking for employment at Databricks are considered without regard to a

Data Engineer in London to work on complex systems at a Hedge Fund.You will manage raw data for investment teams, transforming and analyzing data to derive insights.Ideal candidates have a first class degree in a STEM field, experience in financial markets, and strong technical skills in Python/SQL,

The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry‑leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our pla

AI is fundamentally changes how the world works, and we’re looking for an experienced Databricks Solution Architect to join our team and define what the future of AI looks like on Databricks. Are you an accomplished Solution Architect who wants to grow their Databricks expertise, develop technical

Databricks, based in Greater London, is seeking an experienced engineering leader with over 15 years in large-scale distributed systems.

Gravitas Recruitment Group (Global) Ltd is seeking an experienced Data Architect to design and implement modern data platforms using Databricks. A key requirement is at least 5 years of experience in Data Architecture and 3 years with Databricks.

Lakewatch Strategic Sales Lead to drive enterprise business across EMEA.Your role will involve modernizing security teams' SIEM with a unified platform, achieving business targets, and fostering partnerships with key accounts.The ideal candidate has extensive sales experience in SaaS, especially in

A leading data analytics firm is looking for a Go-to-Market Leader for EMEA Financial Services to drive strategy and growth in Banking, Payments, and more.This position requires at least 10 years of executive experience in Banking and comprehensive knowledge of European regulations.The role includes

Engineering Manager for Lakebase Storage to enhance its data and AI infrastructure platform.The role involves driving development for mission-critical services and facilitating a high-performing engineering team in London.Successful candidates will have experience in building storage systems, team l

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 development of medical breakthroughs. Lead multi‑year, multi‑team initiatives that shape how Databricks enforces Unity C

This role sits at the centre of one of the most strategic ecosystems in Data & AI — accelerating consumption on the Databricks Data Intelligence Platform and shaping how two of the world’s most influential system integrators deliver transformation at scale. You will translate global alliance str

To design, implement, and enable a secure Azure Databricks platform aligned with architecture, security standards, and operating model. Design and deploy Azure Databricks using secure, enterprise patterns. Configure Databricks workspaces, clusters, and policies aligned with cost and security guardra

The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritised product lines in order to establish product market fit, and set the course for rapid revenue growth. At Databricks, we strive to provi

The client is investing heavily in its Databricks practice and is hiring a senior, commercially-minded Databricks Architect to help take it to the next level. Experience working for Databricks or a Databricks Partner (highly desirable). You will sit at the heart of their growth strategy, shaping dea

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. 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 orig

Aimpoint Digital is seeking a fully remote Databricks Solution Architect to engage with clients and help shape the future of AI on Databricks. The ideal candidate possesses extensive consulting experience, strong communication skills, and deep expertise in Databricks.

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. Individuals looking for employment at Databricks are considered without regard to a

Job Title: Technical Delivery Lead - Data Engineering Lead (Hands-on Python / Databricks). Extensive experience with Databricks, including Workflows, Notebooks, and Delta Lake. Design and build scalable data pipelines using Databricks and Azure.

Databricks is seeking a highly skilled Senior Staff Software Engineer to join their backend team in Greater London. Databricks offers comprehensive benefits and values diversity and inclusion as part of their company culture.

This role will see you designing and delivering modern data platforms, working closely with clients and technical teams to build scalable, secure and high-performing solutions using Databricks, Apache Spark and cloud technologies. You’ll also play a key role in pre-sales activities, solution desig

Databricks is looking for a sales leader in Greater London to lead their Enterprise Named and Strategic Account Executive team.

Director, Lakebase Sales Specialists to lead a regional team focused on growing the Databricks Lakebase business.

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‑eco

Alvarium Talent is seeking a Databricks Architect to lead the design of scalable data architectures using the Databricks Lakehouse platform. The role offers the opportunity to influence enterprise data strategies and requires proven experience with Databricks architectures, Spark, and data governanc