{"id":694755,"url":"https://alion.io/job/epicompany-senior-data-engineer-remote-first","title":"Senior Data Engineer - Remote First","company":{"id":44923,"name":"Epicompany","domain":"epicompany.eu","url":"https://alion.io/company/epicompany","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":{"grade":"A","score":90,"open_postings":5,"ghost_share":0,"stale_share":0.2,"repost_share":0,"time_to_fill_p50_days":82,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_city","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Paris, France"],"countries":["FR"],"hiring_countries":["FR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":51000,"max_usd":84000,"period":"year","method":"role_seniority_country_cell","sample_n":61},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Confluence","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"Jira","optional":false},{"name":"Python","optional":false},{"name":"Slack","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon S3","optional":true},{"name":"GitHub Actions","optional":true},{"name":"IAM","optional":true}],"status":"live","first_seen_at":"2026-08-14T13:05:40Z","employer_posted_date":"2026-08-14","last_verified_at":"2026-10-29T02:46:38Z","board_verified":true,"closed_at":null,"days_open":75,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":75},"description":"Be part of a movement to change the way Europe pays\nIn today’s digital Europe, payments still feel too complicated. Random delays, confusing rules, extra apps and accounts make it harder than it should be to pay and get paid.\nThe European Payments Initiative is changing that with Wero, a proudly European digital wallet that makes payments easier, clearer and more secure. Online, in store, at home and across borders, with money and data protected under European laws and regulations.\nWero is live in Belgium, France and Germany and launching soon in Luxembourg and the Netherlands. Backed by 16 major banks and the two largest European acquirers, we are building a brand-new, proudly European payment system. Why not join us?\nWhat’s in it for you\nWork on critical payment, settlement and consumer data products that support a growing European payment system.\n\nHelp shape a modern, governed lakehouse platform used for reporting, product analytics, fraud, finance and operational decision-making.\n\nBuild reliable data foundations in a regulated, high-trust environment where privacy, resilience and auditability matter.\n\nAt EPI, we embrace a remote-first culture, enabling our teams to work remotely from the country where they are based, with in-person meetings at least once a quarter to foster collaboration and connection.\nAbout the team\nYou will join the Data & Analytics team, reporting to Flora Stagnaro, Data Analytics Manager.\nYou will work with a high degree of autonomy within the technical direction set by the Technical Lead. You will collaborate across analytics, backend, fraud, finance, product and platform teams to deliver dependable, reusable and governed data products.\nYour impact\nDesign, build and maintain reliable batch and near-real-time pipelines for payments, settlement, consumer and other critical data domains.\n\nIngest and model data from operational systems, event stores and third-party sources into EPI’s lakehouse.\n\nDefine and enforce data contracts covering schemas, ownership, quality expectations, freshness SLAs and breaking-change procedures.\n\nImplement orchestration, scheduling, retries, monitoring, alerting, reconciliation and incident response for production-grade, idempotent workflows.\n\nApply governance and privacy-by-design principles, including PII classification, access controls, retention and auditability in line with GDPR, PSD2, DORA and internal requirements.\n\nBuild reusable tooling, templates, CI/CD workflows and secure deployment patterns for teams delivering data products.\n\nOptimise storage, compute, query performance and materialisation strategies, contributing to cloud cost governance.\n\nCollaborate with product, analytics, backend, fraud, finance and platform teams, documenting key technical and data decisions.\n\nTechnology stack\nPrimary\nDatabricks platform - workspaces, jobs/workflows, DLT, Databricks SQL, Unity Catalog, Delta Lake\n\nTransformation - dbt\n\nLanguages - SQL, Python\n\nDeployment & CI/CD --Databricks Asset Bundles (DABs), GitHub Actions\n\nInfrastructure - Terraform and EPI's deployment patterns\n\nSecondary\nAWS, including S3, IAM and relevant networking fundamentals\n\nEvent-store and Kafka-based ingestion patterns, including schema evolution\n\nData quality and observability frameworks\n\nCompute tagging, workload efficiency and resource attribution\n\nJira, Confluence and Slack\n\nTo succeed, you should meet at least 70% of these requirements\nMust have\n8+ years of professional experience in data engineering, backend data systems or a closely related role, with strong SQL and solid Python skills for production pipelines.\n\nProduction experience with Databricks or an equivalent lakehouse platform, including governance, scheduling, deployment and Delta Lake design, as well as dbt modelling, testing, documentation and DAG management.\n\nHands-on experience with orchestration, CI/CD and deployment automation, plus designing data contracts, schema validation, freshness SLAs and ownership boundaries.\n\nStrong data governance and privacy-by-design knowledge, ideally in fintech, payments, banking or another regulated sector, with experience in monitoring, data quality and incident response.\n\nAbility to turn ambiguous business requirements into dependable, reusable data products and governed metrics\n\nFluent English (CEFR C1 or C2) and confidence communicating asynchronously in a distributed European team.\n\nNice to have\nExperience with event-driven architectures, Kafka or equivalent event-store patterns, including schema registries.\n\nTerraform or other infrastructure-as-code experience, containerised deployment patterns, and data observability or custom quality frameworks.\n\nDatabricks or AWS certifications\n\nQualifications and seniority\nA Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems or a related field is preferred; equivalent practical experience is equally considered.\n\nSenior Data Engineer level, equivalent to IC3-IC4, with around 5-8 years of experience.\n\nThis is an individual contributor role with mentoring expectations and no direct reports. You will own pipelines end-to-end and contribute to platform decisions.\n\nIf this looks like you, the recruitment steps are:\nA first call with one of our recruiters.\n\nA technical interview focused on data engineering expertise with Flora Stagnaro and Mathias Peters.\n\nA discussion-based system design and case interview with Mathias Peters and Davy Osamulia. You will design a resilient payments data pipeline; there is no take-home exercise.\n\nA final culture and values interview with Flora Stagnaro and a cross-functional peer.\n\nHopefully, an offer you can’t refuse.\n\nWe aim to complete the process within 2-3 weeks from recruiter screen to offer decision and provide candidate communication within 48 hours between stages.\nTurn back if …\nYou are looking for a data analyst or BI developer role focused primarily on dashboards.\n\nYou are looking for a cloud infrastructure role where you will own the underlying infrastructure.\n\nYou prefer a highly structured environment with no ambiguity or do not enjoy working autonomously in a distributed team.\n\nWhat we can offer\nRemote-first culture with quarterly and annual all-staff in-person meetups to keep teams connected and collaborative.\n\nPossibility to work from another EU country for up to 3 months per year.\n\nCompetitive compensation package, featuring salary, performance-based bonus and a thoughtfully designed, high-quality benefits programme.\n\nThe opportunity to be part of a pan-European company shaping the future of European payments.\n\nLearning & development budget: €5,000 training budget per year.\n\nOtherwise, apply!\nOur commitment to equal employment opportunities\nEPI offers the same job opportunities to all, without distinction of gender, ethnicity, religion, sexual orientation, social status, disability or age. 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