{"id":69324,"url":"https://alion.io/job/abound-data-engineer","title":"Data Engineer","company":{"id":450346,"name":"Abound","domain":"getabound.com","url":"https://alion.io/company/abound-4","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":91,"open_postings":6,"ghost_share":0,"stale_share":0.167,"repost_share":0,"time_to_fill_p50_days":98,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":69000,"max_usd":158000,"period":"year","method":"role_country_seniority_unknown","sample_n":202},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Aurora","optional":true},{"name":"Amazon ECS","optional":true},{"name":"AWS Fargate","optional":true},{"name":"AWS Lambda","optional":true},{"name":"GitLab","optional":true},{"name":"MySQL","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prometheus","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-04-24T12:30:10Z","employer_posted_date":"2026-04-24","last_verified_at":"2026-10-31T10:10:23Z","board_verified":true,"closed_at":null,"days_open":190,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":189},"description":"About Abound\nWe’re redefining consumer lending in the UK, and beyond. Using advanced AI and Open Banking data, we make fair, affordable personal finance available to more people. While traditional lenders rely almost entirely on credit scores, we look at the full financial picture - how much you spend, and what you can afford to repay to build a deeper, more accurate understanding of each customer's unique financial situation.\nAnd we've shown it works at scale. We’ve issued over £1.3bn in loans directly to customers while delivering market-leading credit performance - for every 10 defaults the industry expects, we see only 3. We also reached profitability just 2.5 years after launch.\nBacked by £2bn+ of funding from top-tier investors including Citi, GSR Ventures, and Deutsche Bank, we’re recognised as one of Europe’s fastest-growing fintechs (Sifted, CNBC). Now, we’re expanding into new markets and product lines - and we’re looking for ambitious people who want to learn fast, take ownership, and grow with us.\nAbout the Role\nAs a Data Engineer within the Platform team, you will play a critical role in maturing and optimizing our Data Lake. Acting as a key bridge between Platform and Data Science, you will take ownership of the infrastructure and pipelines that power data-driven decision-making across the business. This is an Individual Contributor (IC) role with high impact and autonomy.\nIn your first 6-12 months, your primary focus will be to evolve the Data Lake into a scalable, high-performance foundation for analytics and data science. You will migrate key production workloads- such as model calibration, ad-hoc analytics, and reporting- directly into the Data Lake, while redesigning data structures to improve query performance, reduce AWS costs, and ensure high data recency. You will also establish yourself as a trusted partner to the Data Science team, enabling faster experimentation and delivery through robust, well-designed data systems.\nTechnology Stack\nCloud & Compute: AWS, ECS Fargate, AWS Lambda\n\nDatabases & Data Lake: Aurora (PostgreSQL, MySQL), Athena, DMS, Glue, Iceberg\n\nLanguages & IaC: Python, Spark, SQL\n\nObservability & Tooling: Amazon Managed Prometheus (AMP), incident.io, GitLab\n\nWhat you'll be doing\nOwn and evolve the Data Lake infrastructure and ETL pipelines from day one\n\nMigrate production workloads (e.g. model calibration, ad-hoc analytics, reporting) into the Data Lake\n\nPartner closely with Data Science to understand workflows and enable scalable, efficient data usage\n\nRedesign data structures and clustering strategies to improve query performance and data freshness\n\nOptimize infrastructure to reduce AWS costs while maintaining reliability and scalability\n\nBuild robust, production-grade data systems using modern AWS tooling\n\nWho you are\nStrong software engineering foundation with applied knowledge of SOLID principles in data systems\n\nProven experience building and maintaining Change Data Capture (CDC) pipelines, ideally with AWS DMS\n\nHands-on expertise with Spark and AWS Glue, including transforming RDS workloads into scalable pipelines\n\nHighly proficient in SQL, particularly within transactional RDS environments\n\nExperience implementing governance, standards, and best practices across data platforms\n\nComfortable owning systems end-to-end and working cross-functionally with technical stakeholders\n\nHow we work\nOwnership: You take responsibility for outcomes, not just tasks\n\nImpact-Driven Work: You focus on results and step up during critical moments when needed\n\nMVP Mindset: You prioritize speed and learning, accepting and managing technical debt when appropriate\n\nCollaboration: You go beyond your role and avoid siloed thinking\n\nAdaptability: You thrive in a fast-moving environment with shifting priorities\n\nPragmatism: You value sound judgment and lightweight processes over rigid bureaucracy\n\nWhat we offer\nEveryone owns a piece of the company - equity\n\nHybrid with 3 days a week in the office\n\n25 days’ holiday a year, plus 8 bank holidays\n\n2 paid volunteering days per year\n\nOne month paid sabbatical after 4 years\n\nEmployee loan\n\nFree gym membership\n\nTeam wellness budget to be active together - set up a yoga class, a tennis lesson or go bouldering","description_format":"text","description_chars":4246,"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":["Equity","Gym membership","Paid volunteering days"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Consumer Loans & Pawnshops"],"lifecycle":[{"event":"open","at":"2026-04-24T12:30:10Z"}],"visa":[],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.421,"p_room":0.36,"age_days":189,"expected_fill_days":98,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/abound-data-engineer","json_url":"https://alion.io/job/abound-data-engineer.json","meta":{"generated_at":"2026-10-31T12:40:18Z","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 call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":19570,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":450346},"rest":"https://alion.io/mcp/rest/get_company?id=450346"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fabound-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fabound-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fabound-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/abound-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fabound-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":69324}},{"tool":"search_jobs","arguments":{"company":"getabound.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":69324},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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