{"id":1693864,"url":"https://alion.io/job/df-capital-data-engineer","title":"Data Engineer","company":{"id":674533,"name":"DF Capital","domain":"dfcapital.bank","url":"https://alion.io/company/dfcapital","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":71000,"max_usd":164000,"period":"year","method":"role_country_seniority_unknown","sample_n":116},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":true}],"status":"live","first_seen_at":"2026-10-02T11:42:47Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-08T00:04:36Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"We’re DF Capital - a specialist bank providing award-winning commercial finance, retail finance, and savings products to consumers and small businesses.\nBased in Manchester, we serve thousands of customers across the UK and into Europe, supporting their ambitions with tailored financial solutions.\nWe help our customers realise their ambitions by doing things differently - combining the agility and innovation of a specialist lender with the security and service standards of a regulated bank. Whether it’s flexible lending structures or straightforward savings options, we focus on what matters most to our customers.\nIn 2025, we launched DF Capital Retail Finance - a subsidiary of DF Capital Bank Limited - to offer specialist hire purchase solutions to retail customers.\nOur goal is simple: to do the absolute best for our customers, our communities, and each other.\nYour new role:\nWe are seeking a Data Engineer to join our growing Data & Analytics team within a medium-sized UK bank. Working in a small, agile, you will play a key role in sourcing, integrating, transforming and delivering data from a variety of internal and external systems.\nYou will be responsible for building and maintaining scalable cloud-based data solutions, ingesting structured data from databases and operational systems, as well as semi-structured data from APIs and third-party services. Using Snowflake, DBT and Windmill, you will develop robust data pipelines that support regulatory reporting, operational processes, business intelligence and analytical workloads.\nThis role is well suited to an engineer who enjoys taking ownership, working across the full data lifecycle, and contributing to the continued development of a modern cloud data platform within a regulated financial services environment.\nRequirements\nData Engineering & Development\nDesign, develop and maintain scalable data pipelines and data integration solutions.\nBuild and optimise SQL-based solutions within Snowflake.\nCreate and maintain robust ELT processes supporting reporting and analytics requirements.\nDevelop and manage data models that support business, operational and regulatory needs.\nEnsure data quality, consistency and integrity across multiple data sources.\nDocument data flows, transformation logic and technical solutions.\nData Integration & Ingestion\nDesign and maintain ingestion pipelines for both structured and semi-structured data.\nSource and integrate data from operational databases, applications and third-party platforms.\nDevelop integrations with REST APIs and other external data services.\nExtract, process and transform semi-structured data formats such as JSON and XML.\nMonitor ingestion processes and implement controls to ensure data reliability and completeness.\nWork with business and technical stakeholders to understand source systems and data requirements.\nData Transformation & Modelling\nBuild and maintain transformation layers using SQL and DBT.\nDesign reusable and scalable data models following engineering best practices.\nImplement testing and validation to ensure high levels of data quality.\nOptimise transformation performance and maintainability.\nPlatform Automation & Orchestration\nDevelop and maintain automated workflows using Windmill.\nSchedule, orchestrate and monitor data processing activities.\nIdentify opportunities to improve operational efficiency through automation.\nSupport troubleshooting and resolution of production issues.\nDevOps & CI/CD\nUse GitHub for source control, collaboration and code reviews.\nSupport and improve CI/CD processes for data platform deployments.\nPromote engineering best practices including version control, testing and release management.\nMaintain technical documentation and operational runbooks.\nCollaboration & Continuous Improvement\nWork closely with the Lead Data Engineer and wider stakeholders across the bank.\nParticipate in architecture discussions and solution design.\nContribute to the evolution of the data platform and engineering standards.\nShare knowledge and support continuous improvement initiatives within the team.\nEssential Skills & Experience\nTechnical Skills\nStrong SQL skills with experience developing complex queries, transformations and data models.\nExperience working with modern cloud-based data architectures and data platforms.\nExperience sourcing and integrating data from structured sources such as relational databases.\nExperience working with semi-structured data including JSON, XML and API-based integrations.\nFamiliarity with Python for automation, scripting, API integration and data processing.\nExperience designing and maintaining data transformation pipelines.\nGood understanding of data warehousing concepts and dimensional modelling.\nExperience working with Git-based source control and collaborative development practices.\nUnderstanding of CI/CD principles and automated deployment processes.\nKnowledge of data quality, testing and monitoring methodologies.\nProfessional Experience\nExperience working as a Data Engineer, ETL Developer or similar role.\nExperience delivering data solutions within a cloud environment.\nAbility to work independently and manage priorities effectively.\nStrong analytical and problem-solving skills.\nExcellent communication skills with both technical and non-technical stakeholders.\nDesirable Skills & Experience\nExperience with DBT for data transformation and modelling.\nExperience with Windmill for workflow orchestration and automation.\nExperience building internal data applications using Streamlit.\nExperience with Snowflake administration and optimisation.\nKnowledge of financial services, banking or regulated industries.\nExposure to regulatory reporting and data governance frameworks.\nExperience working in Agile delivery teams.\nTechnology Stack\nCore Technologies\n Snowflake (Data Warehouse)\nSQL\nPython\nGitHub\nCI/CD Pipelines\nData Engineering & Automation\nDBT\nWindmill\nREST APIs\nJSON / XML Processing\nNice to Have\nStreamlit\nFinancial Services / Banking Domain Knowledge\nPersonal Attributes\nSelf-motivated and proactive.\nStrong attention to detail.\nComfortable working within a small, high-performing team.\nAble to balance day-to-day delivery with longer-term platform improvements.\nStrong ownership mindset and willingness to take initiative.\nBenefits\nCompetitive salary (dependent on experience)\nPrivate medical insurance for you (and your partner)\nPrivate Dental \n10% Employer pension contribution\n30-day annual leave entitlement plus Bank/Public Holidays\nFree Gym Membership\nDiscretionary annual bonus\nDiscretionary share awards\nLife Assurance\nIncome Protection\nSave As You Earn company share acquisition scheme\nTax-efficient salary sacrifice scheme to obtain bicycles and electric vehicles\n4 days per year volunteering opportunities to support our local communities\nWorld class offices based in lively Ancoats","description_format":"text","description_chars":6845,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Annual leave","Gym membership","Health insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Business & SME Lending"],"lifecycle":[{"event":"open","at":"2026-10-02T11:42:47Z"}],"visa":[],"liveness":{"score":83,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.826,"p_room":1,"age_days":4,"expected_fill_days":21,"reasons":["conf:0","win:early"],"computed_at":"2026-10-07T05:47:15Z"},"pay":null,"html_url":"https://alion.io/job/df-capital-data-engineer","json_url":"https://alion.io/job/df-capital-data-engineer.json","meta":{"generated_at":"2026-10-08T01:59:28Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per 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