4 of 4 Data Warehouse Jobs in Warrington

Following the acquisition of Brookson by People2.0, the responsibilities of the Data and Analytics team have significantly expanded. We are now seeking a skilled Data Engineer to join our dynamic team. As a Data Engineer within the Data and Analytics team, you will play a pivotal role in designing … maintaining, and optimising the data architecture for People2.0 Group. This architecture ensures the seamless flow of data from source systems to the Data Warehouse, providing a robust foundation of aggregated analytical base tables and operational sources. Our data architecture is critical in enabling People2.0 Group to become a data … as Data Engineer: ETL Maintenance: Collaborating with the Senior Data Engineer to ensure that the ETL process between source systems and the Data Warehouse remains fully operational, with minimal downtime and blockages. Implementing new systems: Working with key stakeholders to integrate new systems and acquisitions into the People2.0 Data Architecture. This More ❯

Architect (Principal/Director) - Manchester/Macclesfield A rapidly scaling Scientific AI company, backed by leading investors and trusted by global top-100 pharma, is redefining how scientific data is centralised, integrated and transformed into AI-ready assets. Their platform powers R&D, QC, CMC and manufacturing workflows across the life sciences, serving as the connective tissue in … some of the world's most complex scientific data ecosystems. We are seeking a Technical Account Manager — effectively a Principal Scientific Solutions Architect — to join the EMEA team. This is a senior, strategic, and highly customer-facing role at the intersection of science, data architecture, and commercial value. You will partner with major pharma organisations to … accelerate their scientific data centralisation and AI-readiness initiatives, operating across large enterprise environments with multi-technology stacks already in place. Your Impact You will act as the primary technical leader across strategic enterprise accounts, combining scientific domain expertise, architectural depth, and commercial instincts. You will guide global pharma clients through complex data transformations, influence account More ❯

timelines and billing. Strong commercial awareness: you understand value propositions, return on investment, trade-offs (cost vs speed vs write-down risk), and you factor in risk, compliance, data governance when designing solutions. Key Responsibilities Lead technical discovery and scoping phases with prospective clients: understand their business, compliance, risk, operational, regulatory and data environment. Design solution … architectures leveraging Aveni's products (Detect, Assist, Agents, FinLLM) plus integrations with client systems (e.g. CRM, communication tools, data pipelines). Develop, deliver, and customise demos, POCs, workshops to illustrate value, ROI, regulatory compliance, risk mitigation, etc. Collaborate with sales teams to respond to RFIs/RFPs, proposals, pricing, technical documentation. Be a trusted advisor to clients: articulate … solutions consulting/technical consulting roles, especially in the Financial Services or Wealth Management space. Strong technical background: experience with machine learning, LLMs and AI systems; understanding of data pipelines, integrations, APIs, security and compliance sensitive environments. Ability to design solutions vs just selling features: architectural thinking, trade-off evaluation, understanding of scalability, performance, data governance. More ❯

HW are working with a leading distribution business to appoint a Head of Data & Analytics to lead a small, high-performing analytics team and help shape the organisation's data strategy. You will be responsible for turning complex data into actionable insights that drive business decisions, optimising processes, and enhancing data capabilities … across the organisation. The role blends technical expertise with strategic thinking and leadership, including team mentoring, stakeholder collaboration, and the practical use of modern data platforms such as Microsoft Fabric. The ideal candidate will have strong experience in SQL, Python, R, or similar tools, a solid understanding of data warehousing and ETL processes, and a proven … ability to communicate insights clearly to non-technical stakeholders. This is an excellent opportunity for a pragmatic, proactive professional with 5+ years in data analytics, including at least 2 years in a leadership role, ideally within a mid-sized enterprise, to make a tangible impact on business performance. More ❯