{"id":1558525,"url":"https://alion.io/job/teya-solutions-senior-data-engineer-data-platform","title":"Senior Data Engineer (Data Platform)","company":{"id":684703,"name":"Teya Solutions","domain":"teya.com","url":"https://alion.io/company/teya","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":76,"open_postings":28,"ghost_share":0,"stale_share":0.964,"repost_share":0,"time_to_fill_p50_days":37,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","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":90000,"max_usd":169000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"Git","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-30T16:33:06Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-01T03:09:05Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Hello. We’re Teya.\nTeya was founded on a simple belief: local businesses deserve better.\nThey are the cafés, restaurants, salons, shops and entrepreneurs that bring character to our high streets, create jobs and keep communities moving. Yet for too long, financial services has made life harder for them - with clunky tools, poor support and complexity that gets in the way of running a business.\nTeya exists to change that.\nWe’re building a financial platform for local businesses across Europe - one built around simple tools, thoughtful design and real human support. Our Members rely on us to help them run their business with confidence, and that responsibility shapes the way we work.\nWe move fast. We care about quality. We stay close to the detail. And we believe great performance and genuine hospitality should go hand in hand.\nIf you want to build meaningful products, solve real problems and make a genuine difference for local businesses, we’d love to hear from you\nYour Role\nWe are seeking a Senior Data Engineer to join our team and help shape the future of our data platform. This role focus on data platform, building and maintaining the core data infrastructure, working on the entire lifecycle of data from our ingestion pipelines and their infrastructure to orchestration and governance.\nYou will play a key role in expanding the capabilities of our data platform, helping build new features that power decision-making across the organisation. This includes every stage of an ELT process, both at the pipeline level and the underlying infrastructure as well as working with engineering teams on how to best leverage our data..\nAs a senior member of the Data Engineering team, you will contribute to platform architecture, data product thinking, and engineering best practices, helping build a world-class scalable Data Platform that enables both analytics and future AI capabilities.\nWe want you to wonder about centralized vs decentralized provisioning of data tools, the trade-off between complex governance systems vs ease-of-use and data democratization, how to create simple processes to manage all the phases of the Data lifecycle and how to have some fun while doing it.\nYour main responsibilities will include:\nDesigning and evolving the architecture of our data infrastructure\n\nMaintaining the existing data platform\n\nEnsuring the reliability of our data ingestion pipelines\n\nPropagating learnings in the Data Engineering team to other parts of Teya\n\nGuaranteeing proper data governance following best practices, while not adding 100 steps of bureaucracy\n\nImproving data reliability, quality, and observability across key datasets, while ensuring data pipelines are simple to set up.\n\nBuilding, maintaining, and improving data models for large and complex datasets, while ensuring they have a simple lifecycle\n\nDesigning and optimising ETL/ELT pipelines to support scalable analytics and data products\n\nCollaborate with data analysts, analytics engineering and engineering teams to turn their data platform use cases into reliable production solutions\n\nParticipate in the team's on-call rotation, investigate production incidents and contribute to improvements across Teya to prevent them from recurring.\n\nParticipate in technical discussions and code reviews, contributing to maintainable designs and strong engineering standards\n\nCreate and maintain clear technical documentation and operational runbooks\n\nYour Story\n5+ years experience in Data Engineering or Data Platform Engineering or Software Engineering working with Data\n\nStrong SQL expertise, particularly in complex analytical and warehouse queries\n\nProficiency in Python and/or Java\n\nExperience with Data Warehouses, such as Snowflake or Apache Iceberg\n\nPractical knowledge deploying and operating containerised workloads using Docker and Kubernetes\n\nKnowledge of streaming tooling (Kafka, Kafka Connect, Flink,…)\n\nExperience with ETL/ELT tooling (dbt, Airflow, Airbyte, dlt,..)\n\nHands-on experience provisioning and managing cloud infrastructure with Terraform\n\nExperience with CI/CD pipelines, automated testing and Git-based development workflows\n\nFamiliarity with observability practices, including logging, metrics, alerting and production troubleshooting.\n\nStrong grasp of software engineering principles and best practices\n\nExperience contributing to or leading data warehouse architecture or redesign initiatives\n\nAbility to collaborate effectively with technical and non-technical stakeholders\n\nStrong experience with data warehousing, dimensional modelling, and data architecture\n\nTeya is proud to be an equal opportunity employer.\nWe are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all.\nIf you require any reasonable adjustments at any stage of the recruitment process whether for interviews, assessments, or other parts of the application-we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.","description_format":"text","description_chars":5255,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["POS Systems","Business & SME Lending","Payment Processing & Gateways"],"lifecycle":[{"event":"open","at":"2026-10-01T03:09:05Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":0,"expected_fill_days":37,"reasons":["conf:2","stale_co","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/teya-solutions-senior-data-engineer-data-platform","json_url":"https://alion.io/job/teya-solutions-senior-data-engineer-data-platform.json","meta":{"generated_at":"2026-10-01T12:42:39Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4104,"day_limit":5000,"remaining_today":896,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}