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We are looking for a Data Engineering Team Lead to lead the Data Platform team at DataSnipper. Every decision DataSnipper makes about its products runs through the data platform: which features land, which customers are getting value, what we bill for, what we fix next, and which AI capabilities add the most value. You will lead a team of two data engineers who own the systems that make that possible. That means how usage events get captured across a growing set of products, how they become trustworthy models in Snowflake, and how Customer Success, Product and GTM get to answers without waiting on us. This is a player-coach role in a small, high-ownership team . You are responsible for the people, the roadmap and the technical direction, and you stay hands-on enough to ship alongside the team and make architectural calls credibly. At DataSnipper, Team Lead is our entry point into engineering management: the same people, delivery and product responsibilities as an Engineering Manager, on a smaller team. We are a handful of people serving the whole company, so your judgment about what not to build matters as much as what the team ships. About DataSnipper DataSnipper is the driving force behind an intelligent automation platform that's transforming the world of audit and finance. Founded in 2017, DataSnipper has skyrocketed and is now OFFICIALLY the fastest-growing software company in the Netherlands according to Deloitte Fast50 and recently achieved Unicorn status in our latest funding round. With over 400.000 users in 125+ countries and a second base in the heart of New York City, DataSnipper is shaking things up. And we're not stopping there. At DataSnipper, we're always on the lookout for innovators who think outside of the box. New ideas aren't just welcomed at DataSnipper–they're essential. What your team owns The Data Platform team works across three areas: Data Platform : reliable, scalable infrastructure that gets the right data to the right place Internal Analytics : a self-service platform so every team can be data-informed without a ticket Customer-facing Analytics : the dashboards and exports customers use to see the value they get from DataSnipper Concretely, you would be walking into billions of usage events flowing from our Excel Add-in, web apps and product backends through Azure Event Hubs into Snowflake ; a dbt estate built on medallion principles and managed in dbt Cloud ; Terraform-managed Snowflake and Azure infrastructure; and a set of product teams shipping AI agents faster than we can instrument them . You will also find real, named open problems rather than a tidy platform: event capture mid-consolidation, multiple methods of user attribution, and a data quality layer that is designed but not yet built. We would rather tell you that up front. What you will do Lead the team Lead a team of two data engineers through outcomes, not tasks : set clear goals with the team and trust them to figure out how Make the team measurably better: raise the engineering bar, grow each engineer into bigger problems, and address performance issues directly when they arise Run regular 1:1s, give clear and timely feedback, and own each engineer's goals and development Foster a culture of experimentation, learning, documentation and operational excellence Take part in hiring and help shape the team's scope as it evolves Own direction and delivery Partner closely with Product, Engineering, Customer Success and GTM to shape the team's roadmap , turning vague data requests into scoped, well-defined work Make the trade-offs a small team serving the whole company needs: what to build, what to defer, and when a request shouldn't become a pipeline Set the technical direction and make the architectural calls that shape the team's systems Keep Snowflake performance and cost , tech debt, dependencies and compliance obligations (audit logging, vulnerability remediation, Vanta evidence) visible and under control Be the person other engineering teams come to when they need to instrument something new Stay hands-on in the data platform Contribute to the event ingestion architecture end to end: Azure Event Hubs, Snowpipe, Fivetran, and our shared Python/TypeScript event client libraries Build and review dbt transformation pipelines that stay reliable as volume, source count and model complexity grow Define and enforce event contracts and schemas so product teams can instrument new features without silent breakage downstream Evolve the core data models (event, user, license, company) and integrate new sources such as product backends, MongoDB, HubSpot and billing Guide reverse ETL and activation work that pushes modeled data back into HubSpot, MongoDB, Postgres and GTM reporting What you bring Leadership At least 1 year leading engineers as a team lead or engineering manager: 1:1s, feedback, goal setting, performance, and development An empowerment style of leadership : you lead through outcomes and trust, not by assigning tasks Early evidence of growing engineers and raising a team's bar, and the willingness to address performance issues directly Strong product aptitude : you can challenge the framing of a request, translate stakeholder needs into technical solutions, and make roadmap trade-offs Data engineering 7+ years in data engineering or a closely related backend/platform role, with a track record of owning a data platform area end to end Deep SQL and strong Python , including query optimization and performance tuning on a cloud warehouse Production experience with a cloud data warehouse (we use Snowflake ) and a modern transformation framework (we use dbt ) Experience with event-driven / streaming ingestion and its failure modes: schema drift, duplication, late data, backfills Experience on a cloud platform at the infrastructure level (we're on Azure ; AWS/GCP transfers fine) Solid data modeling fundamentals and the ability to defend a modeling decision to both engineers and business stakeholders Experience operating data systems in production with a focus on reliability, observability and maintainability How you work Excellent communication in English and genuine comfort working directly with non-technical stakeholders Bias to action, a strong sense of ownership, and the judgment to prioritize when demand exceeds capacity Preferred qualifications Experience in a startup or scale-up , ideally as an early member of a data team Experience hiring engineers or helping a team expand its scope Experience with product analytics tooling (Mixpanel, RudderStack) and warehouse-native BI (Netspring/Optimizely Analytics, Omni, Embeddable, or similar) Experience building data products for AI or agent consumption : semantic layers, metrics layers, MCP servers, or governed self-service access Experience with Terraform , Docker and data governance at scale Reverse ETL experience and familiarity with CRM data models (HubSpot, Salesforce) or customer success platforms What we offer Being part of one of the fastest-growing scale-ups in the Netherlands Make an impact by disrupting the audit industry with us A step into engineering management, with Engineering Manager scope on a small team 28 vacation days Excellent salary Pension plan Stock participation plan Hybrid work (Amsterdam-based) International team and environment Daily lunch Mental health support (OpenUp) Social events and team activities Recruitment steps Recruiter screen Hiring Manager interview System design interview Product interview Final interviews with Engineering leadership At DataSnipper, we believe great ideas come from different perspectives, experiences, and backgrounds. We are committed to building an inclusive workplace and providing every candidate with a fair and equitable hiring experience. Our hiring decisions are merit based and grounded in the skills, experience, potential, and capabilities relevant to the role. We welcome applicants regardless of age, race, ethnicity, nationality, gender, gender identity or expression, sexual orientation, religion, disability, or any other characteristic that makes you, you. What matters to us is what you can bring to the role, the team, and DataSnipper Find more English Speaking Jobs in Netherlands on Arbeitnow

Worum gehts? Bei Event Inc wollen wir Entscheidungen konsequent auf Basis von Daten treffen. Das gilt von der Go-to-Market-Strategie bis zur Conversion-Optimierung, in Marketing, Sales und Product. Mit Dir bündeln wir die Analysekompetenz an einer Stelle und schaffen eine gemeinsame Datenbasis, auf die sich alle verlassen können. Deine Rolle Als Data Analyst (Mensch) mit dem Schwerpunkt Go-to-Market & Insights bist Du die zentrale Anlaufstelle für Datenanalysen entlang unserer gesamten Wertschöpfungskette. Du bist Teil unseres Product Teams und arbeitest Hand in Hand mit unseren Data Engineers. Du begleitest Maßnahmen von der ersten Exploration über die Empfehlung bis zur Wirkungsmessung. Performance im Blick: Du überwachst laufend unsere GTM-Performance über Marketing, Sales und Product hinweg, von Funnel-Analysen über Kanal-Performance bis zu Conversion-Raten. Zahlen, die etwas bewegen: Du lieferst Ad-hoc-Analysen für unsere Teams, immer mit konkreten Handlungsempfehlungen statt reinen Reports. Von der Idee bis zur Wirkung: Gemeinsam mit den Teams entwickelst Du Hypothesen und übersetzt sie in Experimente und A/B-Tests. Mit Vorher-/Nachher-Vergleichen misst Du, ob Maßnahmen wirklich wirken. Muster erkennen: Du machst Cohort- und Funnel-Analysen über Kundensegmente und Marketplace-Bereiche hinweg (z. B. Pharma vs. Automotive). Mit Win/Loss-Analysen bei Enterprise-Deals lieferst Du wertvollen Input für unser Sales Enablement. Traffic-Kanäle optimieren: In enger Abstimmung mit Marketing, Sales und Product optimierst Du unsere Traffic-Kanäle, z. B. mit Blick auf SEO/GEO-Performance und Content-Wirkung. Reporting smart automatisieren: Zusammen mit einem Data Engineer baust Du eine KI- und automatisierungsgestützte Reporting-Infrastruktur auf. So fließt Deine Zeit in Analyse und Empfehlung statt in manuelle Datenaufbereitung. Schnittstelle mit Gewicht: Du bist die zentrale Datenquelle für GTM-Entscheidungen und arbeitest direkt mit unserem CPO zusammen. Was uns gefällt Fundierte Basis: Du hast ein Studium oder eine vergleichbare Ausbildung in Data Science, Statistik, (Wirtschafts-)Informatik, Mathematik, BWL oder einem ähnlichen Bereich erfolgreich abgeschlossen. Erfahrung, die zählt: Du bringst 2–5 Jahre Berufserfahrung in Data, Business oder Product Analytics mit. Mit Marketing-, Sales- oder Marketplace-Funnel-Metriken und Tracking kennst Du Dich aus. Analytisches Handwerkszeug: Du hast fundierte Kenntnisse in Datenanalyse und Statistik und weißt, wie man aussagekräftige KPIs entwickelt. Daten in Klartext: Du leitest aus Zahlen konkrete, verständliche Empfehlungen ab und vermittelst sie so, dass jedes Team etwas damit anfangen kann. Struktur, auch wenn's voll wird: Du arbeitest eigenständig und behältst den Überblick, auch wenn mehrere Teams gleichzeitig etwas von Dir brauchen. Tech-Neugier: Du verstehst Code und schreibst ihn auch selbst (z. B. Python). Idealerweise hast Du schon mit Coding Agents Analysen erstellt oder automatisierte, KI-gestützte Reportings aufgebaut. Das ist kein Muss, aber ein großes Plus. Was Dir gefällt Teamspirit, der Spaß macht: Freu Dich auf ein motiviertes, hochqualifiziertes Team mit flachen Hierarchien und echtem Zusammenhalt. Dazu gibt's regelmäßige Teamevents wie Afterwork-Drinks auf der Dachterrasse, Culture Nights oder Spieleabende. Sei ein Sparfuchs: Profitiere von exklusiven Rabatten auf Top-Marken und Reisen über PepXpress und Corporate Benefits. Gut versorgt: Natürlich stehen Dir der obligatorische Obstkorb, eine Müslibar sowie kalte und warme Getränke jederzeit zur Verfügung. Individuelle Hardware-Wahl: Du entscheidest, ob Du mit einem Mac oder einem Windows-Gerät arbeitest. Arbeitszeiten: Unsere Kernarbeitszeit ist von 10 bis 17 Uhr. Den Rest gestaltest Du nach Deinem Rhythmus. Büro mit Wow-Faktor: Du arbeitest mit Blick auf die Elbe und einige der schönsten Sehenswürdigkeiten Hamburgs. Pick your Perk: Du wählst 20 € Benefitsy, 20 € Zuschuss zum Deutschlandticket oder 20 € Zuschuss für Urban Sports. Wachstum: Wir fördern Deine Weiterentwicklung mit einem Learning Budget von 300 € pro Jahr. Für später schon heute gesorgt: Du bekommst bis zu 100 € monatlich für Deine Altersvorsorge und Vermögensziele (bAV & VWL). Deine Ansprechpartnerin Hellen, unsere Talent Acquisition Managerin Find Jobs in Germany on Arbeitnow

Inside Sales -London Reports to: Store Manager Wage: 18.00 Position Summary At Moffatt & Powell RONA, exceptional customer service and continuous improvement are central to who we are. The Inside Sales / Yard Associate plays a key role in delivering customer service excellence both inside the store and throughout the yard. This hybrid position supports customers with product selection, purchases, and building material needs while maintaining a safe, organized, and welcoming environment. With a …

Position Summary Working as a Meat Associate at Walmart Canada is a great opportunity to grow your skills in a fast‑paced retail environment. In this role, you deliver outstanding customer service by living Walmart's values, keeping the meat department clean, organized, and well‑stocked, and supporting daily sales activities. As part of the team, you help create a fresh, inviting shopping experience for customers. This role is ideal for individuals who enjoy hands‑on work, teamwork, and making …

Position Summary The Optician, Dual Licensed reports to the Vision Centre Manager and provides the Store with expertise on the ordering and dispensing of quality eyewear while maximizing sales and profit, maintaining exemplary customer service by adhering to the 3 Basic Beliefs and values of Wal-Mart. What you'll do Develop the optical business through executing programs as well as promoting the Walmart brand. Build collaborative relationships with Optometrists and other healthcare providers in…

Job Description Job Description At Chatters, beauty is more than what we do, it's how we connect, create, and build confidence every day. From professional hair services to must-have beauty products, we bring passion and expertise together to create inspiring spaces where customers feel welcome, empowered, and excited to explore their personal style. We are looking for a Senior Beauty Sales Consultant at our Lansdowne location in Peterborough, Ontario. What You'll Do Lead by example by deliveri…

Tis the season to be shopping and coming together! Dr.Martens is getting ready for the festive rush and we need your help. We are looking for flexible part-time Sales Assistants to join our team at our Cardiff store during the busy Christmas period for 5 hours a week. Our Sales Assistants are the backbone of our store during the hectic holiday season. Without them, we would not be able to provide the exceptional customer service that sets us apart. Our Sales Assistants take their love for Dr.Ma…

Our Sales Associates make sure Christmas truly sparkles for our Customers! Temporary Christmas Sales Associate - Part Time - Commission, incentives and great staff discount. Christmas is a wonderful time in our stores. Its a time when people with a real passion for quality customer service can help us create the perfect festive atmosphere: turning every moment into a sparkling, welcoming opportunity for Amazing Customer Experiences. Whether a customer is looking for jewellery, a watch or just s…

An excellent opportunity for a Conveyancing Paralegal with some fee-earning experience to join a fantastic Boutique Commercial firm. Join a thriving team of 5 lawyers in the residential conveyancing team. The firm works on behalf of high-profile lenders and deals with great quality work, from commercial real estate Finance through to high-value dispute resolution. Responsibilities: Working on your own sales and purchase caseload with ample legal support, training and supervision if required. Li…

Company: US3090 Sygma Illinois (The Sygma Network, Inc) Sales Territory: None Zip Code: 61834 Travel Percentage: 0 Compensation Range: $10.00 - $48.00 The compensation range provided is in compliance with state specific laws. Factors that may be used to determine your actual rate of pay include your specific skills, years of experience and other factors. You may be eligible to participate in the Company's Incentive Plan. BENEFITS INFORMATION: For information on Sysco's Benefits, please visit ht…

Position Summary Working as a Stock Unloader Associate at Walmart Canada is an excellent opportunity to build hands‑on experience in a fast‑paced retail environment. In this role, you play a key part in keeping the store running smoothly by unloading trailers, processing merchandise, and moving pallets to the sales floor, all while maintaining a safe and clean workspace. As part of the team, you help support a positive customer experience and contribute to the store's success. This role is a gr…

You're the ideal candidate for us if: You have previous sales experience; You love clothing that celebrates feel-good femininity (like lingerie, sleepwear and swimwear); You listen to customers' needs to provide exceptional customer service; You're proactive and conscientious; You're open to working holidays and longer hours during busy periods (depending on your availability); You're looking for a career that constantly offers new challenges; You are functionally bilingual (an asset). Ready to…