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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 Azure Cloud Engineer | Germany (Hybrid)I’m partnered with an engineering-led consultancy that focuses on building and operating secure, scalable cloud platforms looking to hire a Senior Azure Cloud Engineer.You’ll design and implement Azure-based cloud platforms, supporting modern application and data workloads. Your work spans infrastructure design, automation, CI/CD and operational reliability. Projects are delivered in small teams of 5–10 people, with cloud engineers expected to take ownership of technical decisions.You bring a strong software engineering background and several years of hands-on Azure experience. You’re comfortable with infrastructure-as-code, CI/CD pipelines and cloud-native services, and understand how systems behave in production.Expect:• Design and build Azure cloud platforms using modern patterns• Implement IaC, CI/CD and automated deployment pipelines• Apply security, networking and cost-management best practices• Support data and application platforms running at scale• Work in small teams with real technical ownershipGerman fluency is mandatory.Hybrid in Germany across multiple locations. Client travel when required.If this feels like the right next step, send over your profile and we’ll take it from there.

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.

Low Code DeveloperDuration: 3 months initialLocation: Remote (EU)Rate: €350 - €400 per day SkillsLow code – powerpoint, copilot studio, powerapps, sharepointModel driven appCopilot Studio deployment is a mustNeed the ability to work on their own and just get stuff done!Must HaveLeaning heavily on Copilot and the development of agentsDeveloping a POC to integrate copilot into sharepoint

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 initiativesExperience 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

Site Reliability Engineer – SC CLEARED - OUTSIDE IR35 – HIRING ASAP Start date: ASAP Duration: 6 Months Location: 2 days per week in Portsmouth office Rate: £450 - £488 per day OUTSIDE IR35 SECURITY CLEARANCE REQUIRED Summary:   As a Site Reliability Engineer (SRE), you will support the reliability, availability, performance, and security of a shared Platform as a Service (PaaS) used by multiple delivery teams. Operating at SFIA Level 4 (Enable), you will apply established SRE practices to ensure platform stability, automate operational tasks, and improve service resilience.You will work closely with platform engineers, developers, security, and live service teams to support the safe, efficient delivery of digital services in line with DDaT and government standards and in a timely fashion. Responsibilities: Service reliability & operations.Maintain and improve the availability, reliability, and performance of the PaaS.Support live services, including incident response, investigation, and resolution, following agreed runbooks, and escalation paths.Participate in on-call rotas and contribute to incident post-incident reviews (PIRs), identifying root causes and improvement actions. Nominal Service hours are 09H00 to 17H00 week daily.  Out-of-hours support is pre-arranged as required (rare).Monitor platform health using logs, metrics, and alerts, proactively identifying, and resolving issues.Automation & continuous improvementAutomate repeatable operational tasks to reduce toil and improve platform reliability.Contribute to infrastructure and configuration management using Infrastructure as Code (IaC) approaches.Support continuous improvement of operational processes, reliability patterns, and resilience practices.Platform support & collaborationSupport development teams consuming the PaaS, helping them adopt platform standards and reliability best practices.Work with security and compliance teams to ensure the platform meets government security, resilience, and audit requirements (JSP453).Contribute to platform documentation, runbooks, and knowledge sharing.Collaborate within multidisciplinary teams using agile and DevOps practices.Change & Release SupportSupport safe deployment and release processes, including monitoring changes in live environments.Assist with capacity planning and performance testing activities.Ensure changes are implemented in line with change management and live service standards.Skills:Live service operations & incident management experienceStrong automation & scripting capabilityK8 & Cloud compute platform (e.g. AWS) experienceExperience supporting live digital services in a production environment.Practical knowledge of cloud platforms and PaaS concepts (e.g. managed computer, networking, storage, CI/CD).Experience with container platforms (e.g. Kubernetes) or managed PaaS offerings.Experience with monitoring, logging, and alerting tools (e.g. Promethus, Grafana, Elastic).Ability to diagnose and resolve technical issues using established processes and tooling.Experience writing scripts or automation using languages such as Python, Bash, or similar.Understanding of reliability engineering concepts, including incident management, resilience, and failure modes.Ability to work independently on defined tasks and contribute effectively within a team.Experience using Infrastructure as Code tools (e.g. Terraform, CloudFormation).Nice to have skills:Experience working in a government or regulated/secure environment.Familiarity with SRE practices such as error budgets and blameless post-incident reviews.Knowledge of security and compliance controls relevant to live services.Experience using Jira and wider Atlassian project suite (e.g. confluence)

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