Data

Senior Data Engineer – Contract Position – HIRING ASAPLocation: Zurich Switzerland (3 days onsite per week, 2 days remote) Start Date: ASAP Duration: 12 months (extension possible) Maximum Rate: CHF 750 – CHF 855 per dayAbout the RoleMajor transformation project requires support from experienced Data Engineer.You are a result-driven experienced Data Engineer, passionate about your craft and eager to grow further, comfortable meeting (sometimes tight) deadlines and confidently taking ownership of features. You have an accomplished record in delivering sustainable solutions and you desire to develop your skills and knowledge about the platforms which you will be working on, both the technical aspects and how they are used by our business partners.You are comfortable working in multi-dimensional agile teams with direct involvement from business subject matter experts and care about security, quality, user experience, documentation, testing, team spirit and the overall big picture. Finally, you want to put clean code principles into practice on large code bases.Key ResponsibilitiesImplementation of production ready data pipelines using PySpark running on Databricks based on specification provided by business analysts.Interaction with other data engineers and solution architects to meet functional and nonfunctional requirements.Required Skills & ExperienceStrong software engineering skills, including familiarity and application of design patterns, and engineering best practices.Proven experience developing complex software systems as a software engineer (at least 5 years)Strong understanding of data engineering techniques with high level programming languages (e.g., Java, C#, or Python) and analytical frameworksStrong core Python software engineering experienceAt least 3 years for hands on experience with Apache Spark (PySpark), developing applications using an IDE such as VS Code or PyCharmExperience of working with delta lakes and optimizing Spark workloads running on it.Have a good understanding and significant experience with projects using relational data models and SQL.Good work ethic and self-starter. You look out for issues, opportunities and address them when you can, raise them when you cannot.Good analytical skills and the ability to understand complexity and break it down into smaller, achievable steps.Highly proficient in English (written and verbal)Language SkillsEnglish: Good spoken and written skills

Data Engineer – HIRING ASAPStart date: ASAP Duration: 11-month contract Location: 1 week in Galway office, 3 weeks working from homeRate: €500 - €520 per day SummaryIt's a really good role as it gives exposure to cross Asset Management data which is at the core of financial services. This role is on the team that manage the clients’ core databases for integrating data from across Asset Management. So, you can learn a lot about financial services on this team. This is a hands-on role where you will understand the requirements, contribute to the development of specific product features including provisioning of datasets, develop consumption interfaces, build reusable components and resilient cloud-based services, provide insights etc. for our Investment Professionals. Key SkillsPrimarily Oracle (SQL/PLSQL)Expertise in data analysisExposure to Agile development practicesResponsibilitiesContribute to the delivering of high quality, timely, cost effective and maintainable software solutions in an agile environment to meet functional and non-functional business requirements.Complying with and helping to adopt good engineering practices such as test-driven development, code and design reviews, oracle xplans, CI/CDWork independently in delivering complex technical features.Communicate effectively in a team-oriented environment.You demonstrate a positive, collaborative attitude while delivering individually.

BI Specialist – HIRING ASAP Start date: ASAP Duration: 6 months initially Location: 1-2 days per week in Bristol office, 3-4 days remote per week Rate: £400 - £450 per day outside IR35 Summary: We need an experienced BI specialist to build a new SQL Server BI stack and migrate all BI components (SSIS, SSRS, SSAS, databases, jobs, configurations) from existing legacy servers. You will work closely with an internal DBA team that has strong SQL Server skills but require deeper skills across the BI tooling. Responsibilities:Install and configure SQL Server 2014 components on Windows Server 2019.Migrate:SQL databases and SQL Agent jobsSSIS packages and configurationsSSRS reports, data sources, and subscriptionsSSAS models, roles, and processingValidate and test migrated components for functional and performance parity.Produce runbooks, documentation, and handover materials.Assist with cutover planning, execution, and post‑migration support.Skills: Strong experience with SSIS, SSRS, SSAS, and SQL Server administration.Hands‑on delivery of BI migrations between Windows Server versions.Good understanding of ETL, reporting, and cube processing performance.PowerShell and T‑SQL scripting for automation.Experience working in controlled/regulated IT environments.Nice to have skills:SSAS (Tabular or Multidimensional) optimisation experienceKnowledge of drivers/providers and external data sourcesExperience with SQL Server HA/DR setups

Senior Data Engineer – HIRING ASAP Start date: ASAP Duration: 6 weeks initially Location: 1-2 days per week in Bristol office, 3-4 days remote per week Rate: £450 - £550 per day outside IR35 Skills:Snowflake engineering (hands-on)Advanced SQL and performance troubleshooting (query profiling, workload behaviour)Warehouse utilisation analysis (top warehouses/queries, heavy tasks, large tables)Practical cost optimisation tactics and “cost heatmap” creationIngestion and orchestration deep expertiseEnd-to-end ingestion reviews from core source systems (2–3 systems typical)Orchestration tooling/jobs analysis (dependencies, scheduling, retries, idempotency)ETL vs ELT patterns; reload vs incremental logic; backfill and replay strategies.Transformation chain analysisAbility to trace staging → transforms → curated/core layers.Identifying brittle/hard-coded business rules and refactoring opportunitiesData modelling in core domainsStrong modelling capability for Client, Accounts/Holdings, Transactions (or equivalent)Historisation, auditability, lineage awareness, and error handling in core modelsMetric traceability and reconciliationTracing metrics from Precisely definitions → Snowflake implementations → reports/consumersIdentifying mismatches in logic, filters, grain, naming; spotting duplication/missing metricsData distribution & activation flowsMapping and validating data movement to/from channels and tools (Braze, Amplitude, Segment)Understanding of journey/event data patterns and downstream consumption constraintsClient/household/relationship model discoveryReviewing Client Hub / identity models and party-account linkingIdentifying modelling gaps for parent–child linking and future relationship requirementsData quality & governance collaborationWorking with governance/DQ teams to assess controls, checks, and accountability.Translating DQ issues into engineering backlog items and operational monitoring needsEvidence-driven remediation planningProducing domain assessment notes, diagrams, traceability tables, and cost/perf findingsEstimating effort (S/M/L), dependencies, and technical risk for backlog prioritisationCommunication and stakeholder workingComfortable interviewing SMEs and translating input into clear technical artefacts.Able to present findings to architecture, engineering, BI/MI reporting teams, and governance stakeholders.

Senior Data Engineer | Germany (Hybrid)I’m partnered with a firm that has been delivering complex engineering solutions for over five decades, combining strong commercial performance with a deeply technical culture. They are now hiring a Senior Data Engineer to strengthen their data delivery teams.You’ll build and operate cloud-native data pipelines on Azure and Databricks, covering batch and streaming ingestion, Spark-based processing and production-grade orchestration. You’ll work closely with data architects and data scientists, contributing directly to performance, reliability and cost efficiency. Projects are delivered in small teams of 5–10 people, so your work has visible impact.You bring 5 years of experience in data engineering. You’ve built ETL and ELT pipelines in production, understand distributed data processing and are comfortable working with Python, PySpark and SQL. Experience with Databricks a mandatory requirement.Expect:Build and optimise Spark-based data pipelines on DatabricksImplement ingestion, transformation and data modelling patternsTune performance, cost and reliability of production pipelinesSupport ML workloads through robust data foundationsWork closely with architects on platform-level decisionsGerman fluency is mandatory.Hybrid in Germany across multiple locations.If this feels like a good fit, send over your profile and we’ll take it from there.

Data ScientistLocation: RemoteDuration: 12 monthsStart Date: ASAPPay rate: £500 - £600 per day PAYE  Key Responsibilities Conduct experiment analysis to measure impact of authentication methodsPerform root cause analysis to diagnose issues in authentication funnelsExecute funnel analysis across account access flows (registration, login, recovery)Complete opportunity sizing for optimizations and expansionBuild dashboards and reporting to track authentication lever performanceMust have:SQLA/B Testing4-7 years’ experience  Required Skills/Qualifications Strong SQL proficiencyExperience with experimentation platforms and A/B testingAbility to work with large-scale datasets and complex funnelsStrong communication skills to translate data insights into actionable recommendationsExperience with growth analytics work: experiment analysis, funnel analysis, opportunity sizingPython/R experience for analysis and modeling preferred

Business & Data Analyst (Power BI) – Contract Position - HIRING ASAP Start date: ASAP Duration:  12 Months, with possible extension Location: Onsite in Paris office.Rate: €450 - €550 per day Summary Our client has built a data platform based on Microsoft Fabric technology and delivered its MVP in production. They now aim to generalise its usage across the organization to serve BI and analytical use cases and to enable self-BI at large. Opening the platform to a broader adoption requires supporting business teams in their journey to consume existing reports, request and define new reporting needs, and progressively build their own analytics assets under a self-service BI approach.  This assignment aims to:Enhance business teams’ ability to define high-quality data and reporting requirements.Increase user adoption of the Fabric platform and self-service BI capabilities.Improve understanding of the bank’s data models and how to use them effectively.Ensure analytics use cases in finance and risk domains are well supported.Establish repeatable and scalable approaches to demand management and BI development.Strengthen data governance and standardisation practices across departments.ResponsibilitiesHelp business teams articulate and formalise their data and reporting requirements.Support business teams in understanding and using data models made available on the data platform in collaboration with data architects.Provide subject matter expertise in finance and risk domains to ensure data analysis requirements are well understood by IT professionals and well translated in the shape of data models.Facilitate the controlled expansion of datasets and analytical domains using sound, well documented data models. Help build data dictionaries and catalogues.Help accomplish change management and user adoption topics while promoting the use of the data platform for the organization help migrate legacy excel files to power BI, help connect legacy excel files to data sources available in Fabric, etc.This assignment aims to support the organisation in scaling usage of the data platform, fostering a data-driven culture, and enabling sustainable self-service BI across the bank.Key SkillsTechno-functional profile: Master’s degree (Bac 5) in computer science (engineering school or university), followed by 5–8 years’ experience as a business or data analyst.Organised, independent, service-oriented, strong interpersonal skills, autonomous, able to learn independently and work in a team.Speaking and writing in both English and French is a must.

Data AnalystStart date: ASAPDuration: 12 monthsLocation 1 Waterside, Kingswood Ave, Dublin IrelandRate: €300 - €340 per day The Expertise You HaveBachelor’s degree in business/finance or Related Field required1-2 years’ experience working in a Mutual Fund Operations, Business Analysis, and/or Data Analyst role within a Financial Services CompanyTimely response for the set-up and maintenance requests from customersExperience in varied projects/initiatives from straight forward to complexRespond to research requests requiring assistance and problem resolutionAssist in the documentation, response, and management of client requests for new dataDefine and execute test plans and support user acceptance testingRecommend process enhancements for the efficient, accurate and timely completion of all activities including: data loading, quality checks, and reportingIdentify data issues, perform root cause analysis and resolve data quality issues. When needed, work with business partners and systems partners to resolve.Ensuring work is completed within SLA and working on identifying possible causes of missed SLAsExceptional attention to detailYour ability to think analytically and deliver solutions to complex challenges and recognize when escalation is requiredTeam player who takes initiative and thinks across FidelityWorking knowledge of investment securities and Bloomberg an advantage