voize

Senior Data Analytics Engineer (f/m/d)

Berlin FullTime Hybrid
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Job Description

🎤 WHY VOIZE? BECAUSE WE’RE MORE THAN JUST A JOB! At voize, we believe the greatest gift to frontline workers is time - time to care, connect, and be present. Today, that time is lost to busywork and complex systems that pull them away from what matters most: people. Our vision is to change that by building AI companions that seamlessly take over digital workflows. We don’t replace humans with technology - we amplify their impact. Our mission is backed with a $50M Series A funding led by Balderton Capital, with support from HV Capital, Y Combinator and other leading VCs. Today, 2,000+ facilities trust voize, and over 200,000 users rely on our AI companion to ease their daily workload. As a dynamic team, we combine first-in-class technology with meaningful social impact. And now, we’re looking for you to join us on this mission! 💡 YOUR MISSION: ONE SOURCE OF TRUTH FOR A COMPANY THAT RUNS ON DATA As Senior Analytics Engineer, you own voize's company data from the warehouse to the dashboards. You'll be part of our Data & AI function - ensuring the data voize and our AI layer runs on are reliable, safe & scalable. The modern stack (Redshift, dbt, Fivetran, Lightdash) is already live: you make it rock-solid and turn it into the single source of truth the whole company runs on, from ARR to product adoption. As our first dedicated analytics hire, you partner directly with Finance, RevOps, Product, and Customer Success, turning their questions into numbers everyone trusts. 🚀 YOUR DAILY BUSINESS - NO TWO DAYS ARE ALIKE - Model company data in dbt on Redshift: layered, tested, documented models built to outlive you - Ship and run the company KPI dashboard in Lightdash, plus self-serve analytics for every team - Own metric modeling and propose the definitions the whole company runs on. Sign-off sits with data leadership, and you make every number defensible - Keep the ingestion layer running day to day (Fivetran connectors, existing ETL jobs), in close coordination with engineering - Act as a partner to our teams and turn ambiguous business questions from Finance, RevOps, Product, and CS into trusted, self-serve answers - Shape the data foundation before the function scales. As a Head of (Internal) Data & AI and a further Engineers join, you set the standards they inherit and go deeper on the architecture the whole company trusts. 🤝 YOUR SKILLSET - WHAT YOU BRING TO THE TABLE - 4+ years owning analytics from the warehouse onwards (modelling, reporting, BI) in production, ideally as an early or founding data hire - Deep SQL above all, plus strong dbt (layered models, tests, CI, semantic / metric layers) - A cloud data warehouse in production (Redshift ideal; Snowflake or BigQuery with willingness to switch) and a BI tool people actually use - Business-facing autonomy: you partner with non-technical stakeholders, propose and defend metric definitions, and ship without waiting for a data team to form around you - You document, test, and monitor by default, and finishing the 10% that makes a model trustworthy - You know how to leverage AI, you have a track record of automating & building workflows with AI. 🌱 GROWING TOGETHER - WHAT YOU CAN EXPECT AT VOIZE - We are a fast-growing startup, that means you will tackle challenges, grow quickly, and make a real impact, giving frontline workers more time for people - Become a co-creator of our success with stock options - We foster an open, collaborative culture with regular team events, whether you work from our Berlin office or remotely across Germany - Generous perks: 30 vacation days plus your birthday off, Germany Transport Ticket, Urban Sports Club, regular company off-sites, and access to learning platforms such as Blinkist and Audible, plus free language courses - You decide when you work best, that means flexible working hours and a good hybrid set-up. ✨ READY TO TALK? APPLY NOW! 🚀 We look forward to your application and can’t wait to meet you - no matter who you are or what background you have!

Frequently Asked Questions

What does the Senior Data Analytics Engineer (f/m/d) role at voize involve?

The Senior Data Analytics Engineer (f/m/d) position at voize in Berlin is a fulltime role. 🎤 WHY VOIZE? BECAUSE WE’RE MORE THAN JUST A JOB! At voize, we believe the greatest gift to frontline workers is time - time to care, connect, and be present. Today, that time is lost to busywork and complex systems that pull them away from what matters most: people. Our vision is to change that by building AI companions that seamlessly take over digital workflows. We don’t replace humans with technology - we amplify their impact. Our mission is backed with a $50M Series A funding led by Balderton Capital, with support from HV Capital, Y Combinator and other leading VCs. Today, 2,000+ facilities trust voize, and over 200,000 users rely on our AI companion to ease their daily workload. As a dynamic team, we combine first-in-class technology with meaningful social impact.

What skills are required for Senior Data Analytics Engineer (f/m/d) at voize?

Key skills for this role include: GO, Rust, Scala, RDS, SQL, Snowflake, Bigquery, ETL, DBT, Git.

What is the salary for Senior Data Analytics Engineer (f/m/d) at voize?

The salary for this position is not publicly listed. You can negotiate during the interview process. Check Glassdoor or Levels.fyi for estimates.

Is the Senior Data Analytics Engineer (f/m/d) position at voize remote or on-site?

This position is Hybrid. Expect a combination of office and remote work, typically based in Berlin.

How do I apply for Senior Data Analytics Engineer (f/m/d) at voize?

You can apply for this position directly through the employer's careers page. Click the 'Apply Now' button on this page to be redirected to the original listing. Make sure your resume is ATS-optimized. Use SpotChange's free ATS test to check.

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About This Role

Senior Data Analytics Engineer (f/m/d) at voize is a fulltime data & analytics position in Berlin. Key skills include GO, Rust, Scala, RDS, SQL, Snowflake, Bigquery, ETL. Education: Master's Degree preferred. Experience: 5+ years.

This role is classified as hybrid and is suitable for senior-level professionals. Ghost Score 5/100 (Fresh) indicates this listing is very likely active and recently refreshed.

To apply, visit the official application page through the Apply Now button above. SpotChange Jobs provides AI-powered career tools including resume optimization, ATS testing, interview preparation, and salary negotiation assistance.