476 jobs for “data architect”
Matillion Central USA US$107,500 – US$150,000 pa
Owns the full enterprise sales cycle for an AI data automation platform, from self-sourced pipeline through six-figure contract closes. Partners with SDRs, marketing and channel allies on territory strategy, and works cross-functionally with product and solution architecture. Uses MEDDIC or value-selling methods to translate technical challenges into business cases.
Matillion United Kingdom £66,800 – £83,500 pa
Full-cycle enterprise sales role selling an AI data automation platform into large organisations across a defined territory. Day to day involves outbound prospecting, validating inbound leads, converting trials, running discovery calls, demos and POCs, and applying MEDDPICC to manage opportunities. Also builds ecosystem relationships with CDP, SI and ISV partners and works closely with SDRs, marketing and solution architects.
Palantir Technologies Sydney, Australia
Forward Deployed Software Engineers embed with government customers to understand open-ended problems and build data-driven solutions, spanning architecture discussions, large-scale data wrangling, custom web apps and executive briefings. Interns work in small teams with minimal supervision and own end-to-end delivery of high-stakes projects, using languages such as Python, Java, C++ or TypeScript.
Palantir Technologies Washington, United States US$10,000 pm
Interns deploy and operate Palantir software across production environments, handling monitoring, alerting, configuration management and upgrades. They debug distributed systems, automate manual runbooks and build infrastructure solutions using Foundry and Apollo, working in small teams with real ownership.
eFinancialCareers London
Lead the design and delivery of a mission-critical risk data platform for a financial markets clearing organisation, building batch-processing services for market and historical time-series data. The role is hands-on, owning architecture, engineering standards and complex technical decisions, with strong Java 11+ (17+ preferred) and Spring Boot skills. Works closely with infrastructure, security, DevOps and Quant Risk teams, including production support and an on-call rota.
eFinancialCareers London £200,000 – £500,000 pa
Generalist engineering role building trading, execution, risk and research systems for Tier-1 quantitative trading firms, spanning distributed compute, event-driven architectures, real-time applications and large-scale data platforms. Language-agnostic, so Java, C++, Python, Rust, Go, OCaml or C# backgrounds are all relevant, with ownership from design through deployment in small teams close to commercial outcomes.
Profile 29 London £50,000 – £70,000 pa
Design, build and operate resilient AWS cloud infrastructure for public-sector casework and AI orchestration platforms, working across platform and delivery teams. The role spans Terraform and Kubernetes, CI/CD pipelines, Kafka event-driven systems, IdAM with Keycloak, and observability stacks, with a strong DevSecOps and automation focus plus incident response duties.
Experis Baltimore, United States £500 pd
Builds and supports ETL pipelines to move and transform data efficiently, developing reliable data flows so teams can access the right information at the right time. Works within a secure public-sector environment, following controls and best practices while ensuring data quality and consistency across downstream usage. IBM DataStage and Oracle experience are desirable.
GlobalData Plc Birmingham
Build and maintain data ingestion pipelines feeding an AI-enabled pharma competitive intelligence platform, pulling from internal drug, clinical trial and company data plus external news and regulatory sources. Work with Python, SQL and PostgreSQL on AWS, handling data modelling, quality monitoring, performance tuning and schema changes within a small Birmingham-based team.
Adecco London £525 – £575 pd
Hands-on data engineering role in a large-scale digital and data environment, designing complex data flows and scalable data models across operational, analytics and BI systems. The stack centres on Google Cloud Platform, BigQuery, Dataform and Airflow/Cloud Composer, with work spanning data integration from APIs and digital channels, data quality, governance and engineering standards. Requires independent investigation where requirements are initially ambiguous.
EF Recruitment London
Our Global SaaS client is now seeking an experienced Data Analyst to join their Global Customer Success Data Science Team for a 10-month contract.You’ll play a pivotal role in improving how they measure and deliver customer success, driving impact across...
Vivo Talent Birmingham £37,000 – £39,000 pa
Hands-on role managing, analysing and preparing data while maintaining reporting systems to produce insights for business decisions. You will build and maintain Power BI and Tableau dashboards, monitor data pipelines and refresh schedules, and support a transition from legacy systems to cloud-based solutions, working closely with stakeholders and IT teams.
Prize Placements Kings Langley £65,000 – £75,000 pa
Builds and maintains automated data pipelines end to end, from requirements gathering and data extraction through modelling, warehousing and reporting. Works within a modern data stack using SQL, Python and MS Fabric, collaborating with engineering operations and wider engineering teams to support business reporting and visualisation.
CWA Ipswich
Supports the Sizewell C nuclear project by ensuring project data is complete, correctly coded and accurately reflects site and factory activity. Checks progress, quality and completion information, applies data standards at source, reconciles reported progress against baselines, and coordinates weekly supplier data returns. Works closely with project teams, suppliers and the Transverse Data & Reporting Service.
eTech Partners London £60,000 – £65,000 pa
Designs and builds data solutions using Microsoft Fabric and Azure, developing and maintaining ETL/ELT pipelines across multiple sources. Works with Fabric Lakehouses, Notebooks, Pipelines and Workspaces alongside Azure Data Factory, Databricks, Azure SQL and Synapse, coding in SQL, Python and PowerShell. Also supports Power BI reporting and ensures data quality, security and governance, using Azure DevOps/GIT for source control and deployment.
