Data

Change Manager – Strategic People ChangeHybrid, 2 days a week onsite in NorthamptonOffering up to £600 per day Outside IR35Initial 12 Month contractWe’re looking for a Change Manager to drive people-focused change across large transformation programmes. This role is centred on enabling behaviour change and adoption, not project delivery. You’ll act as both a strategic leader and hands-on practitioner, owning change strategies while delivering communications, training, and adoption activities.Key ResponsibilitiesLead end-to-end change strategy across multiple programmesManage and develop Change Managers and AnalystsDesign and deliver comms, training, and adoption plansDefine change frameworks, KPIs, and success measuresCreate clear change narratives for senior stakeholdersAlign change activity to long-term business outcomesWhat We’re Looking ForProven experience delivering people-focused change in complex programmesStrong communications and training capabilityAbility to demonstrate structured change approaches and outcomesExperience across areas like HR tech, workforce transformation, or supply chainA clear people-centric mindset focused on adoption and behaviour changeJoin a growing, strategic change function where success is defined by real adoption and behavioural impact.

Database Architect Galway (1 week onsite/month) | Up to €680/dayWe’re seeking a Database Architect to join a high-impact team. This role sits at the intersection of data engineering, analytics, and cloud technology, supporting investment teams with scalable data solutions and advanced insights.Key ResponsibilitiesDesign and optimize scalable data architectures and pipelinesProcess and analyse large structured and unstructured datasetsBuild and support cloud-based (AWS) data solutionsCollaborate with engineers, data scientists, and investment teamsContribute to AI/ML and LLM-driven workflowsKey Requirements6 years in enterprise development / data engineeringStrong experience with RDBMS, data modelling, and ETL pipelinesProficiency in Python (or Java/C# with willingness to cross-train)Experience with AWS, Snowflake, S3, Oracle, PL/SQLSolid understanding of data structures and scalable systems👉 Apply now or get in touch to learn more.

Lead Data Engineer 📍 London (Onsite) Build the data backbone of a category‑defining AI platform. We’re partnered with an early‑stage, venture‑backed AI startup transforming a large, traditional industry through automation. Their AI assistant is already live with real customers, managing tens of thousands of units, and they're now scaling fast toward revenue. This is a rare opportunity to join early as the Lead Data Engineer and own the data architecture that powers real‑time AI systems at scale. What you’ll doDesign and build scalable batch and real‑time data pipelinesArchitect data systems for analytics, ML workflows, and vector searchOwn data reliability, performance, and governance end‑to‑endWork closely with AI, backend, and product teamsSet standards and help build the future data engineering functionWhat we’re looking for7 years in data or backend engineeringStrong Python and experience with distributed data systemsSolid SQL (Postgres preferred) NoSQL experienceHands‑on experience with modern AI data stacks (e.g. vector databases)Startup mindset: ownership, speed, and architectural thinkingWhy joinDefine the data foundations of a high‑growth AI companyHuge ownership and influence from day oneCompetitive salary meaningful equityWork directly with founders on a genuinely hard, high‑impact problemIf you want to build systems from scratch and shape the future of an AI platform, drop your CV across or contact Adam Whitehurst at Trust in Soda for more info.

Microsoft Power Platform Business Analyst (Co-Pilot Programmes)12-Month Contract | Remote (Anywhere in Europe)Rate: 250-300 Euros/day Trust in SODA is supporting a specialist AI implementation consultancy delivering AI and data solutions for enterprise clients. We are looking for an experienced Business Analyst to support the definition, delivery, and validation of AI use cases across business and technical teams. ResponsibilitiesEngage business stakeholders to capture, clarify, and prioritise AI use casesTranslate business needs into clear requirements, user stories, and acceptance criteriaEnsure alignment between business objectives, delivery scope, and technical solutionsManage scope and change requests throughout the delivery lifecycleSupport solution validation through demos, UAT, and feedback cyclesSkills & ExperienceStrong background in business analysis or product ownership within AI or data initiativesPower Platform experienceCo-Pilot experienceMicrosoft stack experienceExperience working with AI, data, and engineering teams in agile environmentsConfident stakeholder management and facilitation skillsClear communicator with a strong focus on business value and outcomes

Data Engineer – HIRING ASAPStart date: ASAPDuration: 12 monthsLocation: Portsmouth – 2 days in the office and 3 days WFHRate: €350 - €400 per dayRole Description: As a data engineer you will implement data flows to connect operational systems, data for analytics and business intelligence systems, document source to target mappings, re-engineer manual data flows to enable scaling and repeatable use, support the build of data streaming systems, write ETL scripts and code to ensure the ETL process performs optimally, develop business intelligence reports that can be reused, and build accessible data for analysis Must haves:Proven, hands-on experience (ideally 3 years) developing complex data pipelines, data models, and workflowsStrong proficiency in Python and at least one key programming language commonly used in data engineering (PySpark/SQL strongly preferred, Java/Scala beneficial).Solid understanding and practical experience in designing and implementing effective data models (e.g., relational, dimensional) suitable for analytical and operational usecases.Deep understanding of ETL/ELT principles, patterns, and best practices for building robust data integration solutions.Experience working with large, complex datasets and understanding distributed data processing concepts.Excellent analytical and critical thinking skills with a proven ability to troubleshoot complex technical issues independently.Strong verbal and written communication skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences.Proven ability to work effectively within a team environment and write high quality documentation.Demonstrable experience or a strong, genuine interest in mentoring junior colleagues, sharing knowledge, and fostering a supportive team culture. Experience with or enthusiasm for pair programming is essential.Proficiency with Git for code management and collaboration.Demonstrable experience operating at a level consistent with SFIA Level 4, showing autonomy, influence, complexity management, strong business skills, and deep knowledge in data engineering.Data Engineer – HIRING ASAPStart date: ASAPDuration: 12 monthsLocation: Portsmouth – 2 days in the office and 3 days WFHRate: €350 - €400 per dayRole Description: As a data engineer you will implement data flows to connect operational systems, data for analytics and business intelligence systems, document source to target mappings, re-engineer manual data flows to enable scaling and repeatable use, support the build of data streaming systems, write ETL scripts and code to ensure the ETL process performs optimally, develop business intelligence reports that can be reused, and build accessible data for analysis Must haves:Proven, hands-on experience (ideally 3 years) developing complex data pipelines, data models, and workflowsStrong proficiency in Python and at least one key programming language commonly used in data engineering (PySpark/SQL strongly preferred, Java/Scala beneficial).Solid understanding and practical experience in designing and implementing effective data models (e.g., relational, dimensional) suitable for analytical and operational usecases.Deep understanding of ETL/ELT principles, patterns, and best practices for building robust data integration solutions.Experience working with large, complex datasets and understanding distributed data processing concepts.Excellent analytical and critical thinking skills with a proven ability to troubleshoot complex technical issues independently.Strong verbal and written communication skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences.Proven ability to work effectively within a team environment and write high quality documentation.Demonstrable experience or a strong, genuine interest in mentoring junior colleagues, sharing knowledge, and fostering a supportive team culture. Experience with or enthusiasm for pair programming is essential.Proficiency with Git for code management and collaboration.Demonstrable experience operating at a level consistent with SFIA Level 4, showing autonomy, influence, complexity management, strong business skills, and deep knowledge in data engineering.

Senior Data Platform Engineer – Asset Management Equity TechnologyGalway, Ireland |  12-Month Contract |  €450 - €480 per dayWe are seeking a highly skilled Senior Data Platform Engineer to join a dynamic delivery team within our Asset Management Technology group, supporting Equity Research. This is a high-impact role focused on building and evolving a financial data visualization and reporting platform used by senior analysts, portfolio managers, and executive leadership. You will take end-to-end ownership of a critical reporting engine—designing, developing, maintaining, and modernizing systems that sit at the core of investment decision-making.What You’ll DoOwn and enhance a mission-critical financial reporting platformDesign and implement data pipelines, transformation logic, and visualization toolsDevelop scripts and workflows to parse, process, and present financial dataPartner closely with research analysts and business stakeholders to translate requirements into meaningful insightsMaintain and modernize a legacy scripting ecosystem while ensuring stability and accuracyImplement CI/CD pipelines, monitoring, and automation to improve reliability and scalabilityDrive continuous improvement in data quality, performance, and usabilityRequired Skills & Experience7 years of experience in software development or data engineeringStrong expertise in Linux systems (processes, networking, filesystem, cron, systemctl)Advanced shell scripting (bash, ksh, zsh)Professional experience with Python, Perl, or similar scripting languagesSolid understanding of data analysis, statistics, and data science conceptsStrong SQL skills with experience in schema design and query optimizationExperience with data visualization and charting toolsFamiliarity with Git, CI/CD pipelines, and automated deploymentsNice to HaveExperience modernizing legacy systems or scripting environmentsKnowledge of ETL pipelines, APIs, message queues, or workflow orchestration toolsExposure to cloud platforms (AWS, Azure, or GCP)Python experience in data automation, APIs, or machine learning workflowsExperience building internal tools or reusable libraries

Technical Business Analyst – Big Data & Regulatory Reporting - HybridWe've had a new role just go live with one of our multinational clients in the managed services space. We’re seeking an experienced Technical Business Analyst with strong big‑data, ETL, and banking regulatory knowledge. You’ll play a key role in analysing complex datasets, improving data workflows, and supporting high‑impact regulatory reporting initiatives.What You’ll DoAnalyse and model data across big‑data environments.Develop and optimise workflows using KNIME and advanced SQL.Support regulatory reporting with clear documentation and analysis.Review and remediate complex EUC structures.Work closely with technical and non‑technical teams to deliver data solutions.What You Bring5–8 years in a data‑centric role within banking/financial services.Strong experience in big data, ETL concepts, data analysis, and modelling.Hands‑on KNIME and SQL expertise.Solid understanding of regulatory reporting requirements.Excellent communication and documentation skills.Ability to work independently and manage multiple priorities.Nice to HaveLinux/Bash or Python scripting experience.Knowledge of data governance in regulated environments.Familiarity with PowerBI/Tableau.Experience with Jira, Confluence, or ServiceNow.Understanding of data warehousing concepts.Interest in AI/ML applications in data workflows.If you enjoy working with complex data, solving regulatory challenges, and building robust analytical solutions, this could be the right next step for you. Send across your CV or contact Adam Whitehurst at Trust in Soda for more info!

Senior Data Engineer – Contract Position – HIRING ASAPLocation: Adliswil Switzerland (2-3 days onsite per week, 2-3 days remote) Start Date: Up to 1 month notice Duration: 12 months (extension possible) Maximum Rate: CHF 750 – CHF 855 per dayAbout the Role Major transformation project requires support from experienced data engineer.It is in relation to their initiatives to replace the legacy system, but the role has nothing to do with the legacy system. The role is there to break the peak, but it is a long-term role, and an extension is very probable.About YouYou are a result-driven experienced software 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 non-functional requirements.Current challengesNon-functional requirements (dealing with billions of records and hundreds of attributes)Having high delivery velocity and still building maintainable code and keeping technical debt under controlRequired Skills & ExperiencePySpark – Spark and PythonDelta Lake and DatabricksAzure fundamentalsBachelor's or master's degree in computer science, or any other related fieldStrong 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.Language SkillsEnglish: Good spoken and written skillsTeam StructureThe team has 10-12 members, mostly based in Switzerland and Italy. We value in person interactions, hence the position being opened in Switzerland.