{"id":3364732,"url":"https://alion.io/job/youngcapital-data-analytics-engineer","title":"Data & Analytics Engineer","company":{"id":174417,"name":"YoungCapital","domain":"youngcapital.nl","url":"https://alion.io/company/youngcapital","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":true,"listed_via":null,"ats_vendor":null,"truth_index":null},"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":["Amsterdam, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":48000,"max_usd":96000,"period":"year","method":"role_country_seniority_unknown","sample_n":141},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Looker","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-27T14:00:50Z","employer_posted_date":null,"last_verified_at":"2026-10-27T14:00:50Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"What are you going to do: We are seeking a Senior Consultant at the intersection of Data Engineering, Analytics Engineering, and Data Stewardship for a leading global retail enterprise. In this role, you will play a central part in building and scaling Customer Domain Data Products across the international organization.\nYou will help build robust data pipelines, establish automated data quality standards, implement governance and metadata frameworks, and ensure customer data across the company is reliable, well-documented, and readily discoverable.\nWhile the ideal candidate brings a blend of data engineering and data stewardship, applications are also very welcome from strong specialists in one area who have solid fundamentals in the other.\nScope & Key ResponsibilitiesPipeline Development & Maintenance: Build, optimize, and maintain scalable ingestion and transformation pipelines using SQL, Python, and dbt, while supporting ad-hoc analytics needs.\nData Quality & Reliability: Define and maintain data quality rules, automated tests, and monitoring dashboards (e.g., using dbt / Elementary). Lead root-cause analyses for data anomalies and follow up on corrective actions.\nData Stewardship & Governance: Maintain business definitions, harmonization rules, metadata, and cataloguing across datasets. Review data models, data contracts, and schema mappings to ensure alignment with governance standards.\nStakeholder Enablement & Reporting: Translate business requirements into trusted data products; present product metrics, data quality health, and governance insights to both technical and non-technical stakeholders.\nCross-Functional Collaboration: Partner closely with data engineers, data stewards, software engineering, and product owners to improve end-to-end data usability and reliability.\n\n What we offer Hardware & Setup: A high-end laptop and all necessary peripherals to set you up for success.\nHybrid Flexibility: A balanced work model with 2-3 days on-site in Amsterdam and the rest from home, including a home office budget/setup support.\nTravel Allowance: Full reimbursement for public transport commute or a competitive mileage allowance.\nImpact & Scale: The opportunity to shape global customer data products and governance standards within a world-leading retail enterprise.\nGrowth & Learning: Access to training budgets, knowledge-sharing sessions, and modern cloud technologies (GCP, dbt, Databricks).\nCollaborative Culture: An open, inclusive, and international team environment with flat hierarchies and plenty of room for initiative.\n\n What we ask Senior-level experience in Data Engineering, Analytics Engineering, or Data Stewardship.\nPipeline engineering: Hands-on experience writing production code in dbt or Python on cloud platforms (preferably GCP ).\nAdvanced SQL & data modeling: Strong skills in transforming data and building automated tests in dbt .\nOwnership mindset: Proactive problem-solver who thrives in ambiguity and takes the lead.\nLanguage: Fluent in English .\nExperience with BigQuery , Databricks/PySpark , or Elementary .\nBackground working with customer domain data (profiles, transactions, event tracking).\nKnowledge of data governance, metadata management, and data cataloguing.\nBasic dashboarding skills in Looker Studio or Power BI .\n\n Apply Ben jij de perfecte kandidaat voor deze vacature als Data & Analytics Engineer en voldoe je aan de eisen? Klik dan op de knop 'Solliciteer direct!' en we nemen zo snel mogelijk contact met je op! Extra information Status Open Education Level HBO, Universiteit Location Amsterdam Working hours per week 32 - 40 Type of Contract Fulltime (ervaren), Tijdelijke fulltime baan Responsible for As a Data & Analytics Engineer, you will play a central role in building and scaling Customer Domain Data Products for a leading global retail enterprise. Published at 27-10-2026 Uren: 32 - 40 Dienstverband: \n fulltime Vaardigheden\n\n Je beheerst Engels\n\n Opleiding\n HBO, Universiteit Wat wij bieden\n Contract: \n fulltime","description_format":"text","description_chars":4013,"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":["Home office"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-27T22:17:30Z"}],"visa":[],"liveness":{"score":54,"band":"ok","label":"Likely open","p_open":1,"p_active":0.541,"p_room":1,"age_days":4,"expected_fill_days":24,"reasons":["seen:4","agency","velocity","win:early","comp:brand"],"computed_at":"2026-11-01T06:10:25Z"},"pay":null,"html_url":"https://alion.io/job/youngcapital-data-analytics-engineer","json_url":"https://alion.io/job/youngcapital-data-analytics-engineer.json","meta":{"generated_at":"2026-11-01T12:26:34Z","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":19123,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"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":174417},"rest":"https://alion.io/mcp/rest/get_company?id=174417"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fyoungcapital-data-analytics-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%2Fyoungcapital-data-analytics-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%2Fyoungcapital-data-analytics-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/youngcapital-data-analytics-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fyoungcapital-data-analytics-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3364732}},{"tool":"search_jobs","arguments":{"company":"youngcapital.nl","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3364732},"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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