Average Data Engineer salary in Salford, Lancashire

Purpose of the role To support the design, prototype and delivery of innovative, data-led products by combining market insight, advanced analytics and modern data platforms. Working in closely with Product Managers and Data Analysts, this role will convert data assets and models into scalable, commercially viable analytical insights, data visualisations and product features. The Product Innovation Analyst bridges commercial opportunity and technical feasibility, ensuring new products are designed with platform capabilities, data quality, performance and scalability in mind. Principal responsibilities Identify and define new data product opportunities enabled by advanced analytics, machine learning and large-scale data processingEvaluate and test emerging AI technologies and analytical techniques and their suitability for use within our Customer Intelligence Platform to unlock new product capabilitiesDrive product innovation from concept to launch, translating business and customer needs into technical product requirements and delivery specificationsLead rapid prototyping and proof-of-concept development using Databricks notebooks, analytical outputs and machine learning techniques to validate product conceptsOwn technical product definition, including data structures, feature sets, scoring methodologies, model architectures and delivery formats in collaboration with the Product TeamDefine and monitor technical success metrics (data coverage, refresh latency, model stability) alongside commercial KPIs to optimise product performance Product Innovation & Technical Design responsibilities: Identify new product opportunities enabled by advanced analytics, machine learning and large-scale data processingIdentify new usage of existing attributes and products to create more value in existing dataTranslate business and customer needs into technical product requirementsSupport rapid prototyping and proof-of-concept development using Databricks notebooks and analytics outputsDefine product-level data structures, feature sets, scoring outputs and delivery formats in collaboration with the Product Team Product Launch & Performance responsibilities: Define technical success metrics (data coverage, refresh latency, model stability) alongside commercial KPIsSupport internal enablement by translating technical product detail into usable sales and client-facing materialsDrive continuous optimisation using usage analytics, customer feedback and platform performance insights What success looks like in the role Clear, concise and insightful data analytics which enable sound business decisions based on factAbility to translate data analysis into targeted information which can be converted into actionable improvements, based on specific client, sector, internal product needCross functional collaboration to enable continued improvement of Sagacity’s Product Suite through the delivery of robust data insightsAbility to take accountability and ownership for client and internal deliverablesYour efforts result in streamlined data analysis, product builds and reduced time to market Competencies and Behaviours 1 -3 years analytics / data science experiencePractical knowledge of; Delta Lake architecture and versioned datasets, Data pipelines, orchestration and scheduling conceptsProficiency in analytical programming language such as python and/or SQL, with the ability to interrogate datasets and validate analytical outputsExperience designing data products using large-scale transactional, behavioural or marketing datasetsUnderstanding of data modelling concepts (fact/dimension models, feature engineering, aggregations)Can balance time across multiple projects. Plans ahead working backwards from deadlines with all necessary steps e.g. testing, QA. Proactively identifies risk and suggests mitigationIs curious, sceptical, inquisitive, suggests ‘next steps’ analysis and translates analytical findings to actionable insightFlexible, self-motivated, good under pressure, has a commitment to personal developmentExcellent communication skills, both written and verbal, with a willingness to engage and influence othersCommercial experience within Telecoms, Banking or Utilities industries; or within a data related consultancy company would be beneficialAble to travel throughout the UKCan be based at our London Office (min 2 days per week on site)Have the right to work in the UK

Data Manager Flexible Location (Hybrid) TMS (Total Marketing Support) are a subsidiary company of DS Smith. TMS provide Point of Sale Marketing solutions for leading brands as well as specialised packaging solutions.  We are looking for a Data Manager to join us here at TMS. This position plays a critical role within TMS, shaping how data is governed, integrated, and used across the organisation. Reporting to the Head of Technology, you will be responsible for ensuring TMS data assets and management information are accurate, secure, and strategically leveraged to support operational performance, customer insight, and business growth.  Working closely with the Digital Enablement Lead and key stakeholders across TMS and the wider DS Smith Group, you will define and deliver a robust data strategy aligned to Group standards. This is a hands-on role with strategic influence, combining data governance, architecture, reporting, and enablement to help drive a more data-driven culture across the business.  Role Responsibilities  Develop and maintain a TMS data strategy aligned with DS Smith Group frameworks.  Design and oversee scalable, secure data architectures and integrations.  Implement data governance policies, ensuring data quality, consistency, and GDPR compliance.  Lead the delivery of data solutions, pipelines, and system integrations.  Own and continuously improve management information, dashboards, and operational reporting.  Define and monitor KPIs related to data quality, usage, and business impact.  Act as a key liaison between technical teams and business stakeholders.  Promote data literacy and support teams in making data-driven decisions.  Support digital transformation and change initiatives relating to data systems and processes.  Represent TMS in DS Smith Group data governance forums and manage third-party data vendors.  Person Specification  Proven experience in data management, analytics, or data leadership roles  Strong knowledge of data architecture, modelling, integration, and governance  Experience delivering dashboards, management information, and operational reporting  Ability to influence stakeholders and translate business needs into data solutions  Strong understanding of data protection, compliance, and governance frameworks  Degree in Data Science, Information Systems, or a related field  Experience with cloud platforms (Azure, AWS) and modern data architectures  Exposure to manufacturing, logistics, or supply chain data environments  Data management or governance certifications  What we can offer you: Competitive salaryQualifying Sick Pay schemePension scheme & Life insuranceShare Save schemeIncome Protection25 days holiday plus Bank HolidaysEmployee Assistance ProgrammeVirtual GP, Occupational Health & free Flu vaccineCycle to Work and shopping discounts We are DS Smith, together with International Paper, we are a global leader in sustainable packaging solutions and other fibre-based products. We believe a better, more sustainable tomorrow is possible with the right people, who challenge and support one another to enact positive change. We employ more than 65,000 colleagues in North America and Europe, Middle East and Africa (EMEA), who are experts in innovation, manufacturing, design, sales, sustainability, supply chain, and much more. Together with our customers, we make the world safer and more productive, one sustainable packaging solution at a time. Become part of a world-leading organisation and do your best work with us! Our people come from diverse backgrounds, bring different perspectives, ideas and experiences to generate unique solutions focused on present and future sustainability challenges. We welcome all candidates to apply, even those not meeting all criteria.” #LI-SP

ALF are proud to be exclusively partnering with a fast-growing FinTech business in the Manchester area to appoint an Advanced Data Analyst to join their Financial Crime team.This position is designed for a technically strong Data Analyst who enjoys working with complex datasets, automation, and system logic — and wants to apply those skills to building, improving, and scaling the Financial Crime Department.You will sit within the Senior Management function of the Financial Crime department, owning the full lifecycle of data-driven rule design and optimisation that directly protects the business and its customers.Benefits:Competitive Salary up to £50KRemote working – 1 day in the office (Salford)Flexible work life culture23 days holiday plus bank holidays (increasing with years of service, plus additional day for your birthday and wellbeing)Free parking for the day you are in the officeEAP and Virtual GPThe Role:Design, build, and implement new transaction monitoring and fraud detection rules across core systems (SQL / Java)Analyse large, raw datasets to identify emerging fraud and financial crime typologiesUse BI and advanced analytics tools to create insight-led recommendations for improving financial crime controlsOwn the end-to-end lifecycle of rule changes — from proposal and approval through to testing, deployment, and performance monitoringPartner closely with Data, Engineering, and Financial Crime stakeholders, challenging assumptions and driving evidence-based decision makingAct as a Subject Matter Expert during incidents, supporting investigations and system improvementsContribute to the upskilling and technical development of the wider Financial Crime functionPerson:Advanced Data Analyst with strong experience working in regulated, fintech, fraud, or financial crime environmentsStrong SQL skills (essential) with experience building or maintaining rule-based or logic-driven systemsExperience using BI and analytics tools to translate complex data into clear, actionable insightsStrong understanding of financial crime, fraud, or transaction monitoring frameworksExposure to FinTech or digital financial services environments is highly desirableConfident communicator with the ability to influence senior stakeholders across technical and non-technical teamsIf you are interested in the Data Analyst(Financial Crime)– please contact Gavin or Cassidy or send your CV today.