Data

Senior Analytics Engineer - On-site Central LondonWe've had a new role just go live with an incredibly exciting FinTech who are building AI products which change how analytical and operational work is done in the banking sector. If you're an experienced Analytics Engineer looking for a challenge to throw yourself into and build something incredible, this is the one for you. It's an extremely rare opportunity to work side-by-side with founders who have already sold businesses for hundreds of millions in their short careers. You'll be surrounded by some of the best minds and engineers you have ever worked with and be able to immerse yourself in a team who all believe they are building something really special. If you're already someone who looks to build AI Agents to solve problems, you'll find yourself in like-minded company. The RoleBuild rock‑solid data pipelines (batch streaming).Shape clean, trusted data models used across the business.Define core metrics with product and commercial teams.Power self‑serve analytics through well‑designed semantic layers.Guarantee data quality with automated tests and rapid incident response.What You’re Signing Up ForA high‑intensity, high‑ownership environment.Big swings, fast pivots, and serious learning.Direct access to founders and real influence on product direction.Hard work, huge impact, zero boredom.What You BringStrong academic background.5 years of data engineering or similar, owning production pipelines.Elite SQL strong data modeling skills.Experience working with tools such as LookML or equivalentsExperience with modern data stack tools.Proven ability to build reliable, observable data systems.If you're at the stage of your career where you're ready to commit fully to a company already with a strong product-market fit and make a defining statement, send over your CV or contact Adam Whitehurst at Trust in Soda for more info.

Business Analyst (AI 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 initiativesCo-Pilot 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 EngineerDuration: Initial 6 monthsLocation:  Remote Rate: £500 - £600 Outside IR35This role focuses on accelerating the development of the Data Platform by contributing to the cross-functional engineering teams within the Wealth business unit. The primary responsibilities involve technical development, ensuring the quality of data solutions, and collaborating with team members.As part of the engineering team, you will work with engineering team leads, solution architects, software engineers, quality engineers, and product members to contribute to the design, development, delivery, and operation of UK Wealth data products.Strong knowledge and recent experience in many of the following data technologies andmethodologies:Data Architecture Principles: Data lakes, data warehouses, ETL/ELT processes (knowledge Debezium advantageous), data modelling, and data governance.Programming Languages: Python (for data manipulation, analysis, and scripting), SQL (for database interaction and data querying), Pyspark, Kafka and potentially Java or Scala for big data processing.Database Technologies: Experience with relational databases like MS SQL Server and PostgreSQL, as well as NoSQL databases (e.g. DynamoDB).Data Intelligence Platforms: Working knowledge of enterprise DI platforms, specificallyDatabricks, including Data ingestion, streaming, transformation, data integration patterns and tools.Data Integration and Pipelines: Building, maintaining, and optimising data pipelines using tools and frameworks designed for efficient data movement and transformation.Cloud Data Platforms: Familiarity with cloud services for data engineering, such as AWS (e.g., S3, Redshift, Glue).Data Testing and Quality: Implementing data quality checks, data validation, and unit testing for data pipelines to ensure data accuracy and reliability.Scripting and Automation: Using Bash, PowerShell, or Python scripts to automate data-related tasks and workflows.Version Control: Proficient with Git and GitHub for managing code and data-related configurations.Build and CI/CD for Data: Understanding and applying CI/CD principles for data pipelines and deployments, including familiarity with tools like Jenkins, GitLab CI, or similar platforms.Data Security: Awareness of data security practices, including access control, data encryption and compliance with data privacy regulations.Data for AI products/solutions: Knowledge of the use of AI in the context of data. Practicalexperience of AI and AI tooling is beneficial but not required.Key CompetenciesStrong interpersonal skills with the ability to communicate effectively at all levelsAnalytical thinker with a logical approach to problem-solving and solutionsFlexible in approach and mindset to adapt to changing priorities and requirementsAbility to thrive under pressure in a fast-paced environment, able to prioritise tasks and manage your own time appropriatelyAble to work both independently and collaboratively within a team environment to achieve team goals and objectives

Data EngineerDuration: Initial 6 monthsLocation:  Remote Rate: £500 - £600 Outside IR35This role focuses on accelerating the development of the Data Platform by contributing to the cross-functional engineering teams within the Wealth business unit. The primary responsibilities involve technical development, ensuring the quality of data solutions, and collaborating with team members.As part of the engineering team, you will work with engineering team leads, solution architects, software engineers, quality engineers, and product members to contribute to the design, development, delivery, and operation of UK Wealth data products.Strong knowledge and recent experience in many of the following data technologies andmethodologies:Data Architecture Principles: Data lakes, data warehouses, ETL/ELT processes (knowledge Debezium advantageous), data modelling, and data governance.Programming Languages: Python (for data manipulation, analysis, and scripting), SQL (for database interaction and data querying), Pyspark, Kafka and potentially Java or Scala for big data processing.Database Technologies: Experience with relational databases like MS SQL Server and PostgreSQL, as well as NoSQL databases (e.g. DynamoDB).Data Intelligence Platforms: Working knowledge of enterprise DI platforms, specificallyDatabricks, including Data ingestion, streaming, transformation, data integration patterns and tools.Data Integration and Pipelines: Building, maintaining, and optimising data pipelines using tools and frameworks designed for efficient data movement and transformation.Cloud Data Platforms: Familiarity with cloud services for data engineering, such as AWS (e.g., S3, Redshift, Glue).Data Testing and Quality: Implementing data quality checks, data validation, and unit testing for data pipelines to ensure data accuracy and reliability.Scripting and Automation: Using Bash, PowerShell, or Python scripts to automate data-related tasks and workflows.Version Control: Proficient with Git and GitHub for managing code and data-related configurations.Build and CI/CD for Data: Understanding and applying CI/CD principles for data pipelines and deployments, including familiarity with tools like Jenkins, GitLab CI, or similar platforms.Data Security: Awareness of data security practices, including access control, data encryption and compliance with data privacy regulations.Data for AI products/solutions: Knowledge of the use of AI in the context of data. Practicalexperience of AI and AI tooling is beneficial but not required.Key CompetenciesStrong interpersonal skills with the ability to communicate effectively at all levelsAnalytical thinker with a logical approach to problem-solving and solutionsFlexible in approach and mindset to adapt to changing priorities and requirementsAbility to thrive under pressure in a fast-paced environment, able to prioritise tasks and manage your own time appropriatelyAble to work both independently and collaboratively within a team environment to achieve team goals and objectives

SAP EWM Solution Manager – HIRING ASAPStart date: 1st March 2026 Duration: 6-month contract Location: Remote anywhere in Europe (with occasional expensed travel to Poland, Slovenia and Turkey)Rate: Open to negotiations – flexible budget per day Summary We are looking for a highly skilled SAP EWM consultant with PM skills to deliver services in the SAP EWM area.Resource must be able as well to work on project operational tasks and deliverables as a solution design manager for own warehouse and being responsible for delivering them according to project timelines.Resource will be working closely with the LDC SCM Design Lead, LDC Manufacturing Design Lead and the team of Logistics / Manufacturing Design Managers together to help to structure the upcoming activities according to the workload in the team. ResponsibilitiesAct as the Business Solution Manager responsible for Logistics W&D own warehouse in close collaboration with the GPO (Global Process Owners), Business Champions, Functional IT Experts and the LDC Adopt counterpart.Responsible to elaborate deliverables as per the project plan during conceptual design, build and adopt phase. Below is a list of such deliverables (not exhaustive)Ensure a proper design of the solution to set up and integrate Novartis’ own warehouses in the upcoming LDC releases.Establish or update business standard operating procedures.Review and adopt, if necessary, the training material and working instructionsExecute business screening of IT solutions and testing of solution(s)Support and contribute to data migration in Logistics W&D own warehouse area.Align and agree on integration of relevant processes and their respective system solution(s) within Logistics W&D e.g. in the area commercial operations, Intercompany Order Management and Direct ProcurementEnsures that user requirements and functional specifications are consistent with global / local processes.Contribute to master data preparation for Screening, Testing and cut over.Supports the adopt team to ensure proper go live of the upcoming releases.Secure business reporting requirements in Logistics W&D together with the Reporting and Analytics teamVerifying the existing core model for own warehouse based on SAP EWM together with the Global business process owner for Logistics at Novartis and preparing proposal for areas for improvement.Follow up on cross-functional topics e.g., staging with manufacturing and proposing together a solution design that is aligned with the global process owners.Taking over project tasks in conceptual design, build, UAT testing & training, cutover & hyper care phase according to need within the team.Key SkillsVarious years of experience in Supply Chain working in logistics within the own warehouse area in a manufacturing side ideally in the Pharmaceutical IndustrySeveral years of experience of SAP implementation projects and deployments of the SAP EWM solution, ideally in a team lead role.Various years’ Experience in implementing own warehouse setups and understanding to translate process requirements into solution and being able to verify if the solution meets the business requirements.Experience in integration with Manufacturing execution processes and systems e.g., MES system.Committed against timelines within the given time frame in a fast-paced project environment.Being able to lead people and advise the team.High degree of teamwork and quality orientationAbility to operate in a global matrix environment.Capability to moderate workshops with business champions to work on requirements and challenge them if required.Being able to talk and present to higher management within LDC and outside of LDC, to retrieve guidance and force decisions.

SAP Customer Service Analyst – Contract Position - HIRING ASAPStart date: ASAP Duration: 6-9-month contract Location: 3 days in Frankfurt office, 2 days remote workingRate: €450 – €550 per day Summary Our client is seeking a Customer Service Analyst to support the CSR team and wider Commercial team across Europe. The role sits within the service function but will also partner closely with the Commercial backend team to manage customer contracts, pricing queries, and logistics coordination.The successful candidate will operate as the primary point of contact for customer centric-related questions, ensuring rapid response times. (typically, within 2–3 minutes).Key SkillsStrong customer service or inside sales backgroundExperience handling contract queries, pricing, or logistics workflows.SAP experience preferred.Ability to manage tasks with urgency and accuracy.Excellent communication skills; comfortable being the operational point person.Strong organisational skills and ability to work independently on site.ResponsibilitiesAct as the main contact for customer contract queries, pricing allocations, and logistical follow‑ups.Support the Commercial backend team with SAP‑based information retrieval and collections‑related activities (no SAP data entry required)Collaborate with the CSR team to manage customer service requests and backend administrative workflows.Ensure accurate and timely resolution of queries, maintaining a fast turnaround SLA.Partner with on‑site Commercial Sales team members and peers for training and knowledge transferContribute to growing the in‑office presence as part of the German operations hub.

SAP EWM Solution Manager – HIRING ASAPStart date: 1st March 2026 Duration: 6-month contract Location: Remote anywhere in Europe (with occasional expensed travel to Poland, Slovenia and Turkey)Rate: Open to negotiations – flexible budget per day Summary We are looking for a highly skilled SAP EWM consultant with PM skills to deliver services in the SAP EWM area.Resource must be able as well to work on project operational tasks and deliverables as a solution design manager for own warehouse and being responsible for delivering them according to project timelines.Resource will be working closely with the LDC SCM Design Lead, LDC Manufacturing Design Lead and the team of Logistics / Manufacturing Design Managers together to help to structure the upcoming activities according to the workload in the team. ResponsibilitiesAct as the Business Solution Manager responsible for Logistics W&D own warehouse in close collaboration with the GPO (Global Process Owners), Business Champions, Functional IT Experts and the LDC Adopt counterpart.Responsible to elaborate deliverables as per the project plan during conceptual design, build and adopt phase. Below is a list of such deliverables (not exhaustive)Ensure a proper design of the solution to set up and integrate Novartis’ own warehouses in the upcoming LDC releases.Establish or update business standard operating procedures.Review and adopt, if necessary, the training material and working instructionsExecute business screening of IT solutions and testing of solution(s)Support and contribute to data migration in Logistics W&D own warehouse area.Align and agree on integration of relevant processes and their respective system solution(s) within Logistics W&D e.g. in the area commercial operations, Intercompany Order Management and Direct ProcurementEnsures that user requirements and functional specifications are consistent with global / local processes.Contribute to master data preparation for Screening, Testing and cut over.Supports the adopt team to ensure proper go live of the upcoming releases.Secure business reporting requirements in Logistics W&D together with the Reporting and Analytics teamVerifying the existing core model for own warehouse based on SAP EWM together with the Global business process owner for Logistics at Novartis and preparing proposal for areas for improvement.Follow up on cross-functional topics e.g., staging with manufacturing and proposing together a solution design that is aligned with the global process owners.Taking over project tasks in conceptual design, build, UAT testing & training, cutover & hyper care phase according to need within the team.Key SkillsVarious years of experience in Supply Chain working in logistics within the own warehouse area in a manufacturing side ideally in the Pharmaceutical IndustrySeveral years of experience of SAP implementation projects and deployments of the SAP EWM solution, ideally in a team lead role.Various years’ Experience in implementing own warehouse setups and understanding to translate process requirements into solution and being able to verify if the solution meets the business requirements.Experience in integration with Manufacturing execution processes and systems e.g., MES system.Committed against timelines within the given time frame in a fast-paced project environment.Being able to lead people and advise the team.High degree of teamwork and quality orientationAbility to operate in a global matrix environment.Capability to moderate workshops with business champions to work on requirements and challenge them if required.Being able to talk and present to higher management within LDC and outside of LDC, to retrieve guidance and force decisions.

Data Engineer / Analytics Engineer (Contract) Location: Frankfurt or Remote (Europe) Contract: 12 months B2B Start: April (flexible for the right profile) Overview We’re hiring hands-on Data Engineers / Analytics Engineers to build and migrate modern data platforms. This is not a legacy support role and not a Power BI / Power Query shop. The focus is code-first data engineering: pipelines, transformations, orchestration, and scalable analytics infrastructure. You’ll be working with a technically strong lead who provides clear direction and context. If you like building things properly, avoiding vendor lock-in, and treating analytics engineering like software engineering, this will suit you. Key ResponsibilitiesDesign and build data pipelines and transformation layersImplement code-first analytics workflows (no low-code / GUI-heavy tooling)Develop and manage transformations using SQL-first approachesContribute to new platform builds or migrations to modern architecturesWork with orchestration frameworks to schedule and manage workloadsUse Git, CLI-based tooling, and engineering best practicesCollaborate in a small, senior team with clear technical ownershipMandatory SkillsStrong SQL (non-negotiable)Solid data engineering fundamentalsExperience working in code-driven analytics environmentsComfort with Git-based workflows and version controlExperience with at least one cloud platform (Azure, GCP, AWS — flexible)Highly DesirablePython (strong preference)DBT (or equivalent transformation frameworks)Orchestration tools such as AirflowExperience with BigQuery / Dataflow / Dataform or similar modern toolingPySpark experience is a plus, but usage should be confirmed per projectBackground in aviation or travel (nice to have, not essential)This role exists to build, modernise, and scale, not babysit legacy systems. Working Style & EnvironmentMac-first / BYOD environment (no Windows-only toolchains)Strong preference for CLI, Python-style tooling, and reproducible buildsEngineering-led decision-making, not dashboard-driven politicsSmall, focused teamContract Details12-month B2B contractFrankfurt-based or fully remote within EuropeCompetitive day rate aligned with senior-level engineering profilesWho This Suits This is ideal for:Senior Data Engineers or Analytics Engineers who hate low-codeBuilders who want to leave something solid behindEngineers who value portability, clean architecture, and ownership