Data

Data Warehouse Consultant – HIRING ASAPStart date: ASAP Duration: 6-Month Contract Location: 2 days in Dublin office, 3 days working from home.Rate: €450 - €480 per day ResponsibilitiesIdentify data requirements and data sources and engage with data owners and stakeholders to ensure data access and ingest.Design, develop, implement, and manage business intelligence reporting and Extract, Transform, Load (ETL) processes and environments.Design of data models and warehousing to best meet the requirements of DAFM Business Divisions and to maximise capabilities of available tools.Liaise with the business owners to monitor and report on project progression.Write and provide documentation including functional & technical specification and user guides or any supporting documentation required by the business owner.Provide training including presentations and facilitate/organise workshops as required.Maintenance and support of analytical products throughout their life cycle.Oracle/PLSQL development experience like in writing stored procedures, data processing in oracle etc.Big Data/Spark/PySpark/Hadoop experience a bonusDeveloping Power BI dashboards a bonus (accept Tableau, Qlik, Quicksight, Jsper, etc…)Key SkillsExperience with real-time analytics and business intelligence platforms including the following software and database systems; Microsoft Power BI, Oracle, Cloudera & Hadoop.Oracle is a must-have.Using scripting languages to develop new insights from the available data. Including the following programming languages; SQL/ PL-SQL.Experience in designing, developing, documenting, managing, and implementing business intelligence technical solutions covering Data modelling and Data architecture design (both logical and physical).Experience in Data Warehouse design methodologies e.g. star and snowflake schemas, or equivalent.Implementation, ETL, data integration and data migration design and implementation and Data warehouse performance optimisation.Experience in data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilising typical data quality functions including standardisation, transformation, rationalisation, linking and matching.Experience in providing data that is accurate, congruent, and reliable, and ensure the information is easily available to users for direct consumption or integration with other systems.Experience supporting mission-critical enterprise BI Systems.Experience in delivering end to end BI systems.Experience of working within a Public Service Body to develop insights for data driven policy development.

Principal Product Designer | Hybrid, GermanyI am partnering with a leading European tech company valued at €2.9B that is hiring a Principal Product Designer.You will own end-to-end design across multi-platform user journeys, shaping high-impact experiences used across European markets. This role requires strong craft, strategic thinking and the ability to influence senior stakeholders in high-visibility environments.The design team works with an open-source UI component library built on atoms, molecules and organisms, with design tokens and a React and TypeScript front-end that supports efficient design to code workflows.You will:Lead UX strategy and execution for complex, data-rich B2B flows on desktop and mobileTranslate insights into scalable components and interaction patterns in FigmaPartner with research to run studies, validate hypotheses and refine behaviourDrive design quality through structured systems, tokens, visual hierarchy and responsive rulesInfluence directors and senior stakeholders, navigate challenging conversations and anchor decisions in metrics, OKRs and measurable outcomesMentor senior and mid-level designers and raise overall craftCollaborate with engineering to ensure high-quality implementation and system alignmentYou should bring:Proven experience operating at principal level or equivalent senior design leadershipExceptional visual and interaction craft with a portfolio that demonstrates strong hierarchy, clarity and high fidelityStrong record of stakeholder management with concrete examples of negotiation, pushback and decision framingAbility to show business impact with clear metrics, outcomes and trade-offsExperience in design systems or large-scale UI architectureFluency in Figma, component libraries and modern design standardsIf you want a role where UX has real influence, where your craft sets the standard and where strategy and execution meet, send your CV and portfolio for a confidential discussion.

Administrative Assistant – HIRING ASAP Start date: ASAP Duration: 6-Month Contract Location: 3 days in Visp office & 2 days remote workingRate: 300 – 450 CHF per day ResponsibilitiesSupports an organization or department by performing administrative services.Assists management with administrative tasks such as tracking and compiling information of interest.Prepares various reports detailing the administrative information handled by the position. Reads and answers correspondence.May handle confidential information.Key Skills3-5 years’ Admin Assistant experience.

PostgreSQL Database AdministratorLocation: Manchester -3 Days on siteDuration: 6 MonthsRate: £350 – £400 Inside IR35  Primary Skills: The ideal candidate must have hands-on experience with database administration specifically focusing on MongoDB, PostgreSQL, and Oracle. They should be adept at working with database software to store, organize, and manage data efficiently. Furthermore, expert knowledge in RDBMS and NoSQL data stores, along with experience in handling various data structures including JSON and XML, is essential. The candidate should also possess experience in software development with distributed data processing technologies, specifically Oracle, MongoDB, and PostgreSQL. They will be responsible for keeping databases up to date, troubleshooting issues, assisting with database design and development, and managing database access. Additionally, designing maintenance procedures and implementing them will be part of their duties. Interacting with programmers, applications/operational staff, IT project managers, and other technical staff is also a crucial part of the role. They will manage database security, integrity, and backup procedures, and implement necessary security measures. Secondary skills: The candidate should be proficient in writing reports, documentation, and operating manuals, as well as testing and modifying databases to ensure their reliable operation. Experience in writing disaster recovery plans and archiving/housekeeping data is also required. Knowledge of cloud platforms and serverless architecture is preferred, and familiarity with software patterns and their application is beneficial. Knowledge of Kafka would be an advantage. It is also important for the candidate to have experience working in an Agile/DevOps software development environment and to have the ability to assist with mentoring tasks. Experience in support activities is highly desirable.

Senior Data Engineer – HIRING ASAPStart date: ASAP Duration: 6-Month Contract Location: RemoteRate: £500 - £550 per day outside IR35 ResponsibilitiesWorking as a Data Engineer as part of a Snowflake transformationKey SkillsWe’re looking for a Senior level profile, i.e. 8 years’ experience minimum. I.e. someone who is a self-starter and doesn’t need any hand holding.SnowflakeDBTAirflow

Data ScientistLocation: London, UK (Remote) Contract Length: 4 Months Day Rate: Up to £400 per day (PAYE) We’re seeking an experienced Data Scientist for a high-impact contract role supporting a leading global tech organisation. This role sits within the Account Access team — the group responsible for safeguarding user access across major social platforms. You will play a critical role in understanding user behaviour, improving decision systems, and shaping how millions of users experience account recovery, appeal processes, and security features. You will also partner closely with the sister Manager Support team, who handle hacked and compromised account issues. A strong candidate is someone who brings a deep customer-first mindset, understanding user frustrations and designing data-driven solutions that minimise friction and maximise trust. What You’ll Work OnDriving product analytics to uncover behavioural patterns, risks, and optimisation opportunities.Designing and evaluating experiments, including power analysis, precision/recall interpretation, and impact assessment.Building clear, compelling data narratives for technical and non-technical teams.Applying causal inference to understand the impact of product and policy changes.Analysing account blocking patterns, investigating false positives/negatives, and evaluating trade-offs between security and user experience.Partnering with engineering, measurement, and product teams to deliver data-driven recommendations.Supporting continuous improvement for appeals workflows, compromised account processes, and system decisioning models.Required Skills & Experience 5–7 years of experience in Data Science (flexible for strong profiles)Strong SQL skills (product analytics large-scale data handling)Deep experience with experimentation frameworks (A/B tests, metrics, power analysis)Strong product analytics and user behaviour insightsCausal inference expertiseAbility to translate complex data into clear insights and storytellingPython proficiencySecurity knowledge is a plus (e.g., fraud detection, account integrity)

We are currently seeking an experienced Data Product Owner to join an FinTech scale-up client of ours on a permanent basis. This is with a cutting edge Series B scale-up, whose platform is used by legacy financial institutions in order to provide more modern customer experiences across Payments, Credit Unions and FinTechs.The role requires candidates to be based within a commutable distance to Seattle, as the client has a hybrid office policy.Key Responsibilities: Own and drive expansion of our Data Manager product, strategy, GTM and roadmap.Work closely with the engineering teams across our infra, security and UX teams to build World-class data experiences for our financial customers.Understand our competition, the data market and predict trends and directions to inform your planning and future work.Work closely with our customers to ensure their success with our products.Maintain the product backlog and ensure timely prioritization, features and stories are adequately detailed for effective work allocation to engineers.Own the business model, pricing and packaging, feature SKUing etc.Report to senior leadership on progress, plans and blockers.   Desirable Requirements: Strong background in Data Product ownership or management - experience with Data Platform product ownership is a strong plusExperience with working in a start-up is important for this role – proven experience within a more agile environment where you wear different hats Expertise within data engineering - either as a hands-on engineer or working with data engineering teamsExperience with working within financial services or FinTech would be a plusExperience with modern lakehouse technologies like Snowflake or Databricks is importany (pricing, packaging etc.) The role offers long-term earning potential with a strong compensation package, including a strong equity component.

We are currently seeking an experienced Data Product Owner to join an FinTech scale-up client of ours on a permanent basis. This is with a cutting edge Series B scale-up, whose platform is used by legacy financial institutions in order to provide more modern customer experiences across Payments, Credit Unions and FinTechs.The role requires candidates to be based within a commutable distance to Seattle, as the client has a hybrid office policy.Key Responsibilities: Own and drive expansion of our Data Manager product, strategy, GTM and roadmap.Work closely with the engineering teams across our infra, security and UX teams to build World-class data experiences for our financial customers.Understand our competition, the data market and predict trends and directions to inform your planning and future work.Work closely with our customers to ensure their success with our products.Maintain the product backlog and ensure timely prioritization, features and stories are adequately detailed for effective work allocation to engineers.Own the business model, pricing and packaging, feature SKUing etc.Report to senior leadership on progress, plans and blockers.   Desirable Requirements: Strong background in Data Product ownership or management - experience with Data Platform product ownership is a strong plusExperience with working in a start-up is important for this role – proven experience within a more agile environment where you wear different hats Expertise within data engineering - either as a hands-on engineer or working with data engineering teamsExperience with working within financial services or FinTech would be a plusExperience with modern lakehouse technologies like Snowflake or Databricks is importany (pricing, packaging etc.) The role offers long-term earning potential with a strong compensation package, including a strong equity component.