The Data Automations Manager leads the Salesforce ecosystem for customer engagement, ensuring data flows, automation, and team development. They maintain the Single Customer View, enhance data hygiene, and support multi-channel journeys while leading a team of Data Automation Leads.
This role involves acting as a bridge between business stakeholders and technical teams, translating business requirements into technical solutions. Responsibilities include requirements gathering, documentation, user story creation, and supporting solution design and integration projects. The role focuses on data-driven and AI-enabled solutions.
Design and build secure, scalable data platforms and end-to-end pipelines across high-impact client programmes using AWS, Databricks, and Snowflake. Work with lakehouse and medallion architectures, implementing both batch and streaming solutions in regulated environments. Collaborate with data architects and stakeholders to translate business needs into robust technical implementations.
This role involves designing, building, and maintaining scalable data pipelines and cloud-based data infrastructure on AWS, with a focus on Python development and Infrastructure as Code. The engineer will work on automated data acquisition, transformation, and containerised analytics applications within a multidisciplinary government team. The position supports public-interest projects and emphasizes reproducible, high-quality data solutions.
This role involves hands-on software development within a small, agile team, focusing on building and testing new features for Matillion’s AI-powered data automation platform. The engineer will contribute to product innovation, improve testing practices, and support customer-facing teams by diagnosing and resolving technical issues. The role emphasizes autonomy, problem-solving, and continuous learning in a fast-moving, technically rigorous environment.
Lead and develop a high-performing international Solution Architecture team across EMEA, Middle East, and Africa, driving technical pre-sales success and strategic go-to-market initiatives. Act as an executive sponsor on key deals, shape cloud and data platform architectures, and operationalise business growth in a greenfield environment. The role involves deep collaboration with sales, partners, and global leaders to scale impact using AI-driven data automation.
This role involves designing and delivering end-to-end data platforms across secure, high-impact client programmes using AWS and modern data architectures. You'll own the full data lifecycle—from ingestion to consumption—implementing lakehouse and medallion models while making key decisions on storage, orchestration, and governance. The position requires active DV clearance and emphasizes client collaboration in regulated environments.
This role involves building and optimizing a modern AWS data platform, integrating NetSuite and other financial data sources, and developing scalable ETL/ELT pipelines. You'll work closely with Data and Finance teams to turn business requirements into reliable data solutions and ensure data quality and monitoring.
This role involves managing and enhancing a large-scale AWS environment, focusing on infrastructure as code, automation, and cloud optimisation. The engineer will design and implement cloud solutions to support platform scalability and reliability, working closely with modern DevOps practices. Key activities include infrastructure provisioning, performance tuning, and supporting CI/CD pipelines in a fully remote setup.
Design and build scalable data pipelines and ingestion processes using big data technologies like Apache Spark and Hadoop within secure government environments. Develop and optimise high-performance data integration solutions on AWS, leveraging tools such as Apache NiFi and programming languages like Python or Java. Work collaboratively in Agile teams to deliver reliable, secure data platforms supporting analytics and operational decision-making.
Lead a full-stack engineering team building a modern, AI-driven data platform for retail and consumer goods clients. Focus on scalable cloud-native systems using Kubernetes, Terraform, and microservices, with strong emphasis on code quality, observability, and cross-team collaboration. Drive technical direction while mentoring engineers and shaping platform strategy.
This role involves designing and building scalable ETL/ELT pipelines to transform enterprise data into AI-ready knowledge assets. You'll work with BigQuery, Spanner, Neo4j, and vector databases to develop data models, knowledge graphs, and search indexing systems. The position is part of a greenfield project enabling enterprise search, knowledge discovery, and Retrieval-Augmented Generation (RAG) within a major financial services firm.
Design and implement data pipelines using Quantexa, Spark, and Databricks, with responsibility for configuring Quantexa components and supporting client projects. Work within a hybrid environment, contributing to technical leadership and client solution delivery using modern data engineering practices and cloud-based technologies.
This role involves designing, developing, and maintaining robust data pipelines and ETL processes using AWS services. You will contribute to cloud migration, implement architectural solutions, and ensure data quality and integrity while providing technical guidance to junior team members.
This Senior Data Engineer role involves designing and building end-to-end data platforms from scratch for major capital projects, focusing on reliable, traceable reporting. You'll ingest and model messy, heterogeneous data sources—including APIs, spreadsheets, and PDFs—into trusted Azure-based pipelines, with strong emphasis on data validation, lineage, and reconciliation. The role requires close collaboration with non-technical stakeholders such as planners and project managers to deliver accurate board-level insights.
