{"id":2703534,"url":"https://alion.io/job/catawiki-senior-manager-data-engineering-machine-learning","title":"Senior Manager – Data Engineering & Machine Learning","company":{"id":54544,"name":"Catawiki","domain":"catawiki.com","url":"https://alion.io/company/catawiki","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":80,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"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":75000,"max_usd":141000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":24},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"BigQuery","optional":false},{"name":"Feature Store","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-16T09:12:24Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-17T23:52:50Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car, a Woolly Mammoth’s Skeleton, Lady Gaga's Jumpsuit or Usain Bolt’s running shoe, we encounter exceptional objects every day.\nWe’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts.\nHaving sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us.\nTaking ownership and driving impact \nBeing open to change and feedback\nBeing passionate about our mission and our customers. \nYour mission\nAs Senior Manager - Data Engineering & Machine Learning, you’ll lead Catawiki’s established team of Data Engineers and Machine Learning specialists. You’ll help the team grow, set its technical direction and build on work already underway across data foundations and production machine learning.\nThe role spans two connected disciplines. You’ll bring deep experience in either Data Engineering or Machine Learning Engineering, and enough breadth to set direction across the other.\nYou’ll partner with Product, Engineering, Analytics and business stakeholders to set priorities and connect the team’s work to outcomes across Catawiki.\nWhat you'll do\nYou’ll lead the team through platform modernisation and product-facing ML work. Current priorities include modernising the infrastructure for serving production models, introducing a feature store to improve feature management and consistency across model training and serving, and strengthening observability and cost controls. You’ll help set priorities and raise the reliability and impact of this work.\nLead and develop the team: Set direction, coach experienced specialists and create clear ownership across Data Engineering and Machine Learning.\nBuild dependable data foundations: Improve the pipelines, integrations and infrastructure the wider Data team relies on for analysis, reporting and machine learning.\nStrengthen production ML: Improve deployment, monitoring and operational follow-through for production models, so teams can run them reliably and resolve issues effectively.\nAdvance marketplace models: Help teams improve recommendation, cancellation and bidder-risk use cases, connecting model performance to meaningful product outcomes.\nSet direction and priorities: Work with Product, Engineering, Analytics and business partners to choose high-value problems and balance delivery, reliability and long-term platform health.\nShape the technology strategy: Reporting to the SVP Engineering, you’ll join the Engineering Management team and help shape the direction of the Technology department.\nWhat you'll bring\nYou combine strong technical judgement with experienced people leadership. You create clarity in a complex environment, empower specialists and make sound decisions across both disciplines.\nYour experience will include the following. Familiarity with Catawiki’s current stack is useful, and equivalent experience with other platforms is welcome.\nTechnical depth in one discipline: Deep experience designing, building and operating data-intensive systems in Data Engineering or Machine Learning Engineering, with practical knowledge of the other.\nPeople leadership: Experience leading experienced engineers or ML specialists, coaching their growth and setting clear expectations.\nArchitecture and systems thinking: Ability to evaluate trade-offs and guide architecture for data platforms, distributed systems and production infrastructure.\nProduction ML understanding: Experience with the deployment, monitoring and operation of machine learning systems in production.\nBusiness and product judgement: Ability to connect technical work to business goals, make priority calls and assess outcomes.\nRelevant cloud platform experience: We run on GCP using BigQuery, Vertex AI and Kubernetes. Experience with equivalent AWS services is also relevant.\nStreaming and integration experience: Kafka, event-driven systems or modern data integration tools are useful.\nClear communication: Ability to explain technical trade-offs and align technical and non-technical stakeholders.\nHow we work\nYou’ll lead a team of eight Data Engineers and Machine Learning specialists across Amsterdam and Lisbon.\nThe team works closely with Product, Engineering, Analytics and business stakeholders to connect data and ML capabilities to real needs.\nSpecialists own implementation while you set direction, priorities and clear standards.\nThe team supports production data and ML systems, and has no on-call rotation.\nWhere you'll be\nThis is a hybrid role in Amsterdam. You will work from our Amsterdam HQ a minimum of 2 days per week.\nWhy You'll Love Working with Us\nCreate a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business.\nLearn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression.\nA culture of connection defines us. We’re a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work.\nCelebrate life’s moments with us. You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to “Pursue Your Passion”. We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location.\nOur Offices and Way of Working\nOur vibrant offices in Amsterdam and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based.\nInterested?\nApply with an English CV and Cover Letter. By applying, you agree to Catawiki’s Applicant Privacy Policy. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles.\nWe may use artificial intelligence (AI) tools to support the review of your application. AI may help us assess how your experience matches the requirements of the role, but hiring decisions are always made by our recruitment team","description_format":"text","description_chars":6717,"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":[],"hiring_locations":[{"name":"Netherlands","iso":"NL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Auctions","Marketplaces"],"lifecycle":[{"event":"open","at":"2026-10-16T11:55:38Z"}],"visa":[{"country":"NL","licensed_sponsor":true,"evidence":"Recognised sponsor of the Dutch immigration service (IND)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Highly skilled migrants and regular labour","cap_exempt":false,"checked_at":"2026-10-03T21:10:06+00:00","sources":["IND: public register of recognised sponsors (work)"],"filings_for_role_12m":0}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":0,"expected_fill_days":15,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/catawiki-senior-manager-data-engineering-machine-learning","json_url":"https://alion.io/job/catawiki-senior-manager-data-engineering-machine-learning.json","meta":{"generated_at":"2026-10-17T23:58:59Z","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":2394,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":54544},"rest":"https://alion.io/mcp/rest/get_company?id=54544"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcatawiki-senior-manager-data-engineering-machine-learning"},{"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%2Fcatawiki-senior-manager-data-engineering-machine-learning"},{"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%2Fcatawiki-senior-manager-data-engineering-machine-learning"},{"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/catawiki-senior-manager-data-engineering-machine-learning\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcatawiki-senior-manager-data-engineering-machine-learning"}]}