{"id":854073,"url":"https://alion.io/job/altosoftware-senior-data-platform-engineer-aws-databricks","title":"Senior Data Platform Engineer (AWS, Databricks)","company":{"id":679778,"name":"Alto Software","domain":"altosoftware.co.uk","url":"https://alion.io/company/altosoftware","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":"senior","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":86000,"max_usd":169000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":39},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"BigQuery","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Kubernetes","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon EC2","optional":true},{"name":"Amazon EventBridge","optional":true},{"name":"Amazon Kinesis","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-04T00:00:00Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-10-18T21:10:15Z","board_verified":true,"closed_at":null,"days_open":45,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":45},"description":"London | Hybrid - 2 days per week in our London HQ | Full-time\nAlto Software Group is a B2B SaaS company that powers more than half of all UK housing transactions each year. We create software solutions that connect businesses and consumers, delivering a one-stop shop for estate agents and home builders. Our goal is to drive efficiency, speed up transactions, reduce risk, and improve the end-customer experience. While we're not a start-up, we have a start-up mindset and want our people to operate with this mindset so that we can achieve our ambitions.\nThe Role\nWe are looking for a Senior Data Platform Engineer to take on the hardest parts of scaling our data platform which powers both internal and external analytics solutions, agentic AI workflows and wider engineering systems. We’re investing heavily in migrating workloads and services away from legacy infrastructure, as well as building repeatable and resilient data processing pipelines for these use cases.\nWhat You'll Do\nOwn the reliability and performance of our data lakehouse as it scales, taking the lead on the operational problems that don't have an obvious answer.\nBuild the infrastructure and business logic behind our data commercialisation products, partnering with product and commercial teams to turn data into revenue.\nDesign the abstractions, blueprints and reusable templates that let service and analytics teams work with data safely and consistently, from ingestion through to storage and access - and make them good enough that teams choose them.\nLead the data side of modernising our legacy monolithic SQL Server database: extracting into the lakehouse and parallel data stores, introducing retention policies, and migrating to modern SQL frameworks.\nWrite and optimise ETL processes and contribute to data modelling for both internal analytics and external-facing data products.\nTake work from ambiguous problem statements through design, build and deployment, and stay accountable for it in production.\nRaise the technical bar on how we build - reviewing designs, challenging decisions, and improving our engineering practices as you go.\nWhat You Need to Be Successful\nDeep, hands-on experience building and running production data platforms and products\nA good level of experience in Python (particularly pyspark) for building data pipelines\nStrong AWS and Terraform experience, with infrastructure-as-code as your default way of working rather than something you've picked up.\nSubstantial experience with a modern lakehouse or warehouse platform - Databricks ideally, or Snowflake/BigQuery - including the performance, cost and governance decisions that come with running one at scale.\nReal production experience with Fivetran, dbt, or equivalent ingestion and transformation tooling.\nKafka or similar streaming systems in production, and the judgement to know when event-driven is the right answer and when it isn't.\nStrong SQL and sound data modelling instincts, plus experience working with large legacy relational estates and the constraints they bring.\nComfort with container orchestration (ECS, Kubernetes) and how data workloads actually behave in production.\nA platform mindset - you take as much satisfaction from the paved road as from the pipeline that runs on it.\nThere's always room to grow and learn with our roles - please don't be put off if you don't have all of these. It's more important that you're passionate about improving the home moving and owning experience for everyone.\nOur Technology Stack\nWe believe in using the right tool for the job. Our current stack includes:\nData Platform: Databricks, dbt, Fivetran\nLanguages: Python, SQL\nDatabases: SQL Server (legacy, being modernised), plus lakehouse storage on S3\nCloud & Infrastructure: AWS (EventBridge, Kinesis, Lambda, S3, EC2), Terraform (Infrastructure as Code)\nStreaming: Kafka\nContainers & Orchestration: ECS, Kubernetes\nOur Behaviours:\nExplore Boldly: We value engineers who are eager to learn new technologies and stay current with industry trends.\nBounce Back Stronger: A pragmatic problem-solver who can navigate ambiguity and find simple solutions to complex challenges.\nOwn It Together: A collaborative team member who is willing to share early-stage work and both give and receive constructive feedback.\nMake It Happen: A person who takes pride in their delivery and is passionate about creating high-quality software at pace.\nKnow Our Customers: You're a platform engineer who is genuinely interested in your internal customers' perspective. You strive to understand the purpose of your work so you can deliver the most impactful solutions.\nWhy Join Alto?\nThis role offers genuine ownership of a platform at the point where it stops being a project and starts being critical infrastructure - your decisions on architecture, tooling and standards will hold for years. You will have the autonomy to shape how data is built and consumed across the business, and direct visibility with the product and commercial teams turning that data into revenue. With the Databricks migration in flight and data products moving from idea to roadmap, this is the moment where the hardest and most interesting work sits.\nBenefits\nHybrid - 2 days per week in our London HQ for team collaboration \nOpportunities for career development and advancement within a growing organisation.\nEveryday Flex - greater flexibility over where and when you work\n25 days annual leave + extra days for years of service\nDay off for volunteering & Digital detox day\nFestive Closure - business closed for period between Christmas and New Year\nCycle to work and electric car schemes\nFree Calm App membership\nEnhanced Parental leave\nFertility Treatment Financial Support\nGroup Income Protection and private medical insurance\nGym on-site in London\n7.5% pension contribution by the company\nDiscretionary annual bonus up to 10% of base salary\nTalent referral bonus up to £5K\nWe want to make ASG more welcoming, fair and representative every day. We’ll consider everyone who applies for this role in the same way, regardless of your ethnicity, colour, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, neurodiversity status, family or parental status, or how long you’ve spent unemployed.","description_format":"text","description_chars":6271,"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","Health insurance","Parental leave"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["PropTech"],"lifecycle":[{"event":"open","at":"2026-09-13T05:14:21Z"}],"visa":[],"liveness":{"score":27,"band":"fade","label":"Fading","p_open":1,"p_active":0.608,"p_room":0.45,"age_days":43,"expected_fill_days":26,"reasons":["conf:3","win:tail"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/altosoftware-senior-data-platform-engineer-aws-databricks","json_url":"https://alion.io/job/altosoftware-senior-data-platform-engineer-aws-databricks.json","meta":{"generated_at":"2026-10-19T01:06:53Z","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":430,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"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":679778},"rest":"https://alion.io/mcp/rest/get_company?id=679778"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Faltosoftware-senior-data-platform-engineer-aws-databricks"},{"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%2Faltosoftware-senior-data-platform-engineer-aws-databricks"},{"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%2Faltosoftware-senior-data-platform-engineer-aws-databricks"},{"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/altosoftware-senior-data-platform-engineer-aws-databricks\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Faltosoftware-senior-data-platform-engineer-aws-databricks"}]}