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Data Engineer

Rebtel

Stockholm · Dataingenjör

Publicerad 24 juni 2026Sista ansökan 21 december 2026Heltid

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Översikt

Arbetsgivare

Rebtel

Plats

Stockholm

Omfattning

Heltid

Sista ansökan

21 december 2026

Varför jobbet kan passa

Läs vidare och bedöm arbetsmiljön utifrån dina egna behov. Annonsen ger ännu få tydliga funktionella signaler.

Kognitivt stöd

55/100

Annonsen kan behöva mer information om struktur, introduktion och arbetsledning.

Fysisk miljö

50/100

Annonsen beskriver inte fysisk miljö eller anpassningar särskilt tydligt.

Inkludering

50/100

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Tydligare sammanfattning

Kortare och tydligare version för snabbare läsförståelse.

Kort och tydligt: - Roll: Data Engineer - Arbetsgivare: Rebtel - Plats: Stockholm - Yrke: Dataingenjör - Omfattning: Heltid - Anställning: Tills vidare - Sista ansökningsdag: 2026-12-21 Det som verkar viktigt i annonsen: - Annonsen behöver granskas mer för tydliga tillgänglighetssignaler. Bra frågor att ställa arbetsgivaren: - Hur ser introduktionen ut? - Hur tydliga är arbetsuppgifter och prioriteringar i vardagen? - Finns möjlighet till anpassningar vid behov? Kom ihåg: - Läs alltid originaltexten innan du söker. - AI-texten är ett stöd och kan missa detaljer.

Originaltext

What will you do? As a Data Engineer at Rebtel, you will do more than build pipelines; you'll help shape the future of our data platform and influence how data is used across the company. At Rebtel, data sits at the heart of how we build products, understand customers, optimize growth, and make decisions. This is a hands-on engineering role with significant ownership. You'll work across our modern data stack, build scalable data products, and help define the architecture that supports analytics, automation, and future AI initiatives. If you're excited by clean architecture, modern data engineering practices, and solving meaningful business problems at scale; if you care about data quality and believe trust in data is built through engineering discipline; if you enjoy solving complex problems and turning ambiguity into practical solutions; and if you're excited to experiment with new technologies and approaches, we'd love to talk. Areas of ownership: Design, build, and maintain scalable, reliable data pipelines that power our Snowflake data platform Integrate data from a wide range of business and product systems Enable data activation across customer-facing and operational platforms, including CRM, customer support, and marketing tools Develop robust monitoring, alerting, and observability practices to ensure platform reliability Troubleshoot, optimize, and continuously improve data workflows and platform performance Design and implement scalable ELT workflows using modern data engineering practices Build well-structured dimensional models (facts and dimensions) that enable self-service analytics and reporting Implement automated testing and quality controls throughout the data lifecycle Ensure data is accurate, accessible, and trusted across the organization Work closely with analysts, product managers, engineers, marketers, and business stakeholders to understand data needs and deliver impactful solutions Help translate complex business challenges into scalable data products and datasets Support decision-making by making data easier to discover, understand, and use Evaluate emerging technologies, frameworks, and industry best practices Run proof-of-concepts and contribute to strategic technology decisions Help define the future architecture of Rebtel's data platform Continuously improve engineering standards, tooling, and developer experience Requirements: You are an excellent communicator and collaborator. We work in English, but you will hear many languages in our Stockholm office 3+ years of experience in Data Engineering or a similar role Strong SQL skills and experience building production-grade data pipelines Experience with modern ELT methodologies and data warehousing concepts Experience integrating data from multiple systems and sources Experience with dbt, Python, AWS, or similar cloud-based data platforms Strong understanding of data modeling and analytics engineering best practices Ability to operate independently and take ownership of technical solutions Experience working in fast-growing technology or digital product companies is a plus It's a bonus if you've been exposured to customer analytics, marketing analytics, experimentation, or machine learning workflows Experience with BI tools such as Looker, Tableau, or Power BI is a plus It's a plus with a degree in Computer Science, Engineering, Mathematics, or a related field Why Rebtel? Rebtel has been connecting people across borders for nearly 20 years. Today, we’re profitable, growing, and at a pivotal moment in our journey. As we enter our next phase, we’re building an organisation designed for speed, ownership, and real impact, where every role contributes directly to shaping what comes next. This is a place with global ambition and a strong foundation, where ideas move quickly and decisions matter. You won’t get lost in layers of process or slow-moving structures. Instead, you’ll find the space to take ownership, collaborate across teams, and make meaningful contributions from day one. Based in Stockholm, we bring together a diverse, international team united by a shared purpose: to simplify the way people connect worldwide. At Rebtel, you are the most important asset and we strive to provide a comprehensive package of benefits and perks that enhance your well-being and work experience. Here are some of the things you can expect from us: Pension Plan Health Checkups, Influenza shots and Private Medical Insurance Dental Insurance Occupational insurance Wellness allowance (5,000 SEK) Discount on gym memberships Bonus program Extra parental pay 30 days annual vacation Monday breakfasts Relocation Support, if you're joining us from afar, we'll assist you in making a smooth transition. We are Rebtel. We come from all around the world to create products for anyone who has crossed a border. We believe in equal opportunity and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Jobbfakta

Arbetsgivare
Rebtel
Plats
Stockholm
Omfattning
Heltid
Anställning
Tills vidare
Distans
Ej tydligt angivet

Bra frågor att ställa

  • Hur ser introduktion, rutiner och arbetsledning ut i rollen?
  • Vem kan jag prata med om praktiska anpassningar innan start?