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About ProvectusAt Provectus, we architect enterprise-grade AI and data solutions that transform how organizations leverage their most valuable asset – data. We combine deep technical expertise with strategic product thinking to deliver scalable, production-ready AI systems and modern data platforms.Who We're Looking ForWe're seeking a Senior Technical Product Manager with strong engineering acumen and product leadership experience to drive sophisticated AI and data platform initiatives. You bring the technical depth to engage in architecture discussions, evaluate trade-offs, and make informed decisions about complex system designs – while maintaining focus on business value and user outcomes.You're a technical translator who bridges the gap between possibility and practicality, helping clients navigate the rapidly evolving AI landscape with confidence. Your background allows you to assess technical feasibility, identify risks early, and guide engineering teams toward optimal solutions. • Architect Product Strategy for Technical Platforms:, • Define product strategy for AI platforms, data infrastructure, and enterprise-scale data migration initiatives., • Lead technical product discovery – evaluating emerging technologies (GenAI, Agentic AI, vector databases, streaming architectures) and assessing fit for client use cases., • Design solution architectures in collaboration with data architects and engineers, making build-vs-buy decisions and technology stack selections., • Develop technical roadmaps balancing innovation, scalability, security, and time-to-value. Drive AI/ML Product Development: • Own end-to-end product lifecycle for GenAI applications leveraging LLMs, RAG architectures, Agentic frameworks, and multi-modal AI systems., • Translate business requirements into technical specifications, API contracts, data schemas, and system integration patterns., • Guide model selection, evaluation criteria, and deployment strategies for ML models in production environments., • Champion MLOps practices including model versioning, monitoring, performance tracking, and continuous improvement loops. Manage Complex Data Platform Initiatives: • Lead product planning for data lake/lakehouse implementations, warehouse modernizations, and cloud data platform migrations., • Define data product requirements including ingestion pipelines, transformation logic, data quality rules, governance policies, and access patterns., • Oversee integration of multiple data domains, ensuring interoperability, data lineage, and metadata management., • Partner with data engineering teams on performance optimization, cost management, and scalability planning. Execute Through Agile Delivery: • Facilitate Agile ceremonies and maintain well-groomed backlogs with properly sized, technically detailed Features and epic-level stories., • Work closely with engineering teams to decompose complex features into incremental releases with clear technical dependencies., • Define sprint goals aligned with quarterly objectives and long-term product vision., • Balance technical debt management with feature delivery, advocating for enablers and architectural improvements. Enable Technical Decision-Making: • Conduct technical due diligence, proofs-of-concept, and spike solutions to validate approaches before full investment., • Analyze trade-offs between competing technical solutions, considering performance, cost, maintainability, and developer experience., • Document technical decisions, architectural decision records (ADRs), and design patterns for knowledge sharing., • Communicate technical strategies and recommendations to executive stakeholders with clarity and conviction., • Required Qualifications:, • Bachelor's degree in Technology or Business related field (Master's preferred)., • 5-7+ years of experience in technical product management, solutions architecture, or software engineering., • 5+ years in product management roles with demonstrated end-to-end product ownership., • 3-5+ years of experience with AI/ML products, Generative AI, or data platform development., • 3-5+ years working in Agile/Scrum environments with strong command of Agile methodologies and ceremonies., • Deep understanding of cloud architectures (AWS, Azure, GCP) and modern data stack technologies. Technical Expertise: • AI/GenAI: LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen)., • Data Engineering: ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures., • Cloud Platforms: AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery)., • MLOps: Model deployment, monitoring, versioning, CI/CD for ML, feature stores, experiment tracking., • Data Migration: Assessment methodologies, migration patterns, data validation, cutover strategies., • Development Practices: API design, microservices, containerization (Docker, Kubernetes), CI/CD pipelines. Core Competencies: • Solution design and technical architecture capabilities., • Requirements translation from business needs to technical specifications., • Strong analytical thinking and problem-solving in complex technical domains., • Exceptional stakeholder management across technical and non-technical audiences., • Clear technical communication—documenting complex systems and presenting architectural decisions., • Risk identification, dependency mapping, and mitigation planning. Preferred Qualifications: • Prior software development or data engineering experience (3+ years)., • Background in consulting or professional services, delivering client solutions., • Certifications: AWS Solutions Architect, Azure Data Engineer, GCP Professional Data Engineer, Certified Scrum Product Owner. Personal Attributes: • Insatiable curiosity about emerging technologies and a hands-on experimentation mindset., • Close attention to detail with quality focus and commitment to technical excellence., • Collaborative team player who thrives in cross-functional environments., • Adaptable and comfortable navigating ambiguity in fast-paced consulting contexts., • Passion for mentoring engineers and elevating technical practices., • Lead top-tier engineering teams and cutting-edge agentic AI systems, enterprise AI platforms., • Shape how enterprises adopt AI — from strategy to architecture to delivery., • Grow within a team building modern AI-delivery practices, tools, and frameworks., • Remote-friendly culture with strong engineering, data, and consulting partnerships.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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

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_.

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.

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.

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. 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. Senior Data Engineer| AWS/Databrick

Required Core Skills: Databricks, AWS, Python, Pyspark, data modelling Minimum years of experience: 7 years Job Description: 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 ADF, Python, and PySpark. Must have hands on experience to PySpark, Python,AWS,data modelling Must have experience in ETL processes Must have hands on experience in Databricks development Good to have experience in developing and maintaining data integrity and accuracy, data governance, and data security policies and procedures. Must have hands on experience in SQL development Excellent Communication skills & Logical thinking

Strong Databricks experience, ideally within migration or modernisation initiatives. 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 platform

Design and deploy Azure Databricks using secure, enterprise patterns. Configure Databricks workspaces, clusters, and policies aligned with cost and security guardrails. Define "how to use" and "how not to use" Databricks.

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

Experience working for Databricks or a Databricks Partner (highly desirable). 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. You will be trusted to lead from the front: owning solution des

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. You will be the face of Databricks at relevant events, building strategic relations

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

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

Join Databricks to help shape its crucial UKI business segment.

Develop and execute a strategic account plan aligned to customer business objectives, industry dynamics, and Databricks' growth goals. Do you want to help solve the world’s toughest problems with big data and AI? This is what we do every day at Databricks. You will work closely with their key stak

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.

Own and scale the Databricks–Accenture alliance across EMEA, aligning regional execution with global strategy and driving measurable consumption growth. Incubate and scale differentiated joint industry solutions, accelerators, and managed services built on the Databricks Platform. Databricks is th

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 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

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

Cyber Security training courses seeks a Databricks Data Architect to enhance their pre-sales and practice growth efforts. You will own solution architecture for Databricks Lakehouse platforms while guiding clients through their data and AI strategies. The ideal candidate should possess significant p

Architect and implement Databricks Lakehouse solutions end‑to‑end. Optimise Databricks performance, security, and cost efficiency. Databricks certifications highly desirable.

This transformative role requires expertise in Databricks and AI engineering, focusing on comprehensive architecture leadership and stakeholder collaboration.

Go-to-Market Leader for EMEA Financial Services to drive strategic growth.This role involves managing executive relationships and developing comprehensive sales plans for the Banking, Capital Markets, and Insurance sectors.The ideal candidate will have over 10 years of executive experience in Bankin

Synapri is seeking a professional to design and implement a secure Azure Databricks platform in a hybrid working pattern. Key responsibilities include deploying Azure Databricks, implementing security measures, and providing governance across data platforms. Essential skills include Azure Databricks

Databricks is seeking a Strategic Account Executive in Greater London to manage large enterprise accounts and drive revenue growth through strategic relationships.

Cyber Security training courses is seeking a Senior Data Engineering Manager in Greater London to lead three separate Data Engineering teams.This role emphasizes strategy, people management, and technical judgement, while advocating for a healthy work-life balance.The position offers a salary up to

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

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.

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,

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

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

Lead tri-party collaboration between Databricks, Accenture/Avanade, and Microsoft to maximise Azure-aligned investments and market impact. Incubate and scale differentiated joint industry solutions, accelerators, and managed services built on the Databricks Platform. Databricks is seeking a strategi

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.

Databricks is seeking a Lakewatch Sales Specialist to help security teams modernise their SIEM with an open, agentic platform that unifies security, IT, and business data for AI-driven detection and response. At Databricks, we are committed to fostering a diverse and inclusive culture where everyone

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

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

Data Integration Lead (Databricks & Salesforce). With Databricks now largely established and legacy pipelines approaching consolidation, the priority has shifted toward connecting the data platform with core business systems, particularly Salesforce. This is a high-impact, cross-functional role posi

Databricks is seeking a Global Account Manager based in Greater London, England, to lead relationships with major pharmaceutical and biotechnology organizations. The successful candidate will collaborate with internal teams and cloud partners to ensure successful adoption of Databricks solutions, an

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