Find remote data jobs from companies hiring in European time zones. Roles include Data Analysts, Data Engineers, Data Scientists, Business Intelligence Analysts, Analytics Engineers, and Machine Learning Engineers, from junior positions to Head of Data. Salaries for remote data roles in Europe typically range from €18,000 at entry level to €100,000+ for senior and lead positions, with data engineering and ML roles commanding the highest compensation.
Senior Data Engineer
Lead Business Analyst, Process & Automation (Berlin | remote)
AI Benchmark Engineer | Native Language Specialist – Spanish (Mexico) – Remote
AI Benchmark Engineer | Native Language Specialist – Spanish (Argentina) – Remote
AI Benchmark Engineer | Native Language Specialist – Portuguese (Brazil) – Remote
AI Benchmark Engineer | Native Language Specialist – Indonesian – Remote
AI Benchmark Engineer | Native Language Specialist – German (Switzerland) – Remote
AI Benchmark Engineer | Native Language Specialist – French (France) – Remote
AI Benchmark Engineer | Native Language Specialist – German (Austria) – Remote
AI Benchmark Engineer | Native Language Specialist – French (Canada) – Remote
AI Benchmark Engineer | Native Language Specialist – French (Belgium) – Remote
Senior Web Tracking Engineer
What kinds of remote data jobs are available in Europe?
Data is one of the strongest categories for remote hiring in Europe. The roles break down into a few distinct tracks:
Data Analysis and Business Intelligence — the largest group. Data Analysts, BI Analysts, and Analytics Engineers who work with SQL, dashboarding tools (Looker, Tableau, Power BI), and statistical analysis to support business decisions. These roles exist across nearly every industry — SaaS, fintech, e-commerce, healthtech, and more.
Data Engineering — building and maintaining the pipelines and infrastructure that make analysis possible. Data Engineers, Analytics Engineers, and Platform Engineers working with tools like dbt, Airflow, Spark, Snowflake, and BigQuery. These roles are in high demand and consistently among the best-paid in the data field.
Data Science and Machine Learning — roles focused on predictive modelling, experimentation, and ML systems. Data Scientists, ML Engineers, and Applied Scientists working with Python, R, TensorFlow, or PyTorch. Increasingly, companies want people who can bridge the gap between research and production.
Most positions are full-time and permanent, though contract and freelance roles appear regularly too. The majority of employers are tech companies, but demand is growing fast in financial services, healthcare, energy, and the public sector.
What do remote data jobs in Europe pay?
Compensation depends heavily on which track you’re in, your seniority, and where the hiring company is headquartered. Based on current market data for remote roles in European time zones:
Data Analysts:
- Entry-level (0–2 years): €18,000–€42,000/year
- Mid-level (3–5 years): €45,000–€65,000/year
- Senior / Lead (5+ years): €60,000–€85,000/year
Data Engineers:
- Entry-level: €25,000–€50,000/year
- Mid-level: €55,000–€80,000/year
- Senior / Lead: €75,000–€110,000/year
Data Scientists / ML Engineers:
- Entry-level: €35,000–€55,000/year
- Mid-level: €55,000–€85,000/year
- Senior / Lead: €80,000–€120,000+/year
Companies headquartered in Switzerland, Ireland, Germany, and the UK tend to offer the highest compensation. Some global companies (GitLab, Automattic, Zapier) pay location-agnostic rates, which can be significantly above local market norms for analysts based in Southern or Eastern Europe. Head of Data and Director-level roles regularly exceed €120,000.
Which companies hire remote data professionals in Europe?
Active employers for remote data jobs across European time zones include companies like Canonical, GitLab, Personio, SumUp, Deel, and Remote — alongside hundreds of scale-ups and mid-size companies across fintech, SaaS, e-commerce, and healthtech. The fintech and payments sector is particularly strong for data hiring in Europe, as is climate tech and energy.
What tools and skills are most in demand?
Based on current job listings, the most requested skills across remote data roles in Europe are:
Across all data roles: SQL (near-universal requirement), Python, Git, and strong communication skills for working with non-technical stakeholders.
For analysts and BI: Looker, Tableau, or Power BI. Increasingly, dbt and analytics engineering skills are expected even in analyst roles. Excel/Google Sheets proficiency is still common for earlier-career positions.
For data engineers: dbt, Airflow/Dagster, Snowflake or BigQuery, Spark, Kafka, Terraform, and cloud platforms (AWS, GCP, Azure). Infrastructure-as-code experience is a growing requirement.
For data scientists and ML: Python (pandas, scikit-learn, TensorFlow/PyTorch), experimentation and A/B testing frameworks, MLOps tools, and feature stores. Companies increasingly want people who can deploy models, not just build them in notebooks.
Emerging: Experience with LLMs, retrieval-augmented generation (RAG), and AI-assisted data workflows is appearing in a growing number of listings, particularly at AI-forward companies.
Do I need a degree for remote data jobs in Europe?
It depends on the role and the company. Many data analyst positions are open to candidates with bootcamp backgrounds, self-taught skills, or degrees in unrelated fields — provided you can demonstrate proficiency in SQL, a BI tool, and basic statistics. Data engineering roles tend to care more about your portfolio and experience with specific tools than your degree. Startups and scale-ups are generally more flexible on formal qualifications than large enterprises.
FAQ
Can I get a remote data job in Europe without prior experience? Entry-level and junior data analyst roles are the most accessible starting point. Companies hiring for these roles typically want evidence of SQL proficiency, a portfolio project or two (even using public datasets), and some familiarity with a dashboarding tool. Completing a recognised data analytics bootcamp or certification can help, but building a portfolio of real data analysis work matters more than credentials.
Are remote data jobs in Europe usually in English? Yes, the large majority. Data teams at European companies almost universally work in English, even when the company itself operates in another language. Some roles, particularly those involving stakeholder-facing reporting for local markets — may require German, French, or another European language as a secondary skill.
How competitive are remote data roles in Europe? Highly competitive for analyst positions, somewhat less so for engineering and ML roles where supply is tighter. For analyst roles, expect 100–300+ applications per posting. What separates successful candidates: demonstrated SQL skills beyond basics, experience with real business problems (not just course exercises), and the ability to communicate findings clearly. For engineering and ML roles, deep technical skills and production experience are the main differentiators.
What’s the difference between “remote” and “hybrid” data jobs? On EU Remote Jobs, all listed positions are 100% remote. You can work from home or anywhere within the specified eligible countries. Some companies may ask for occasional travel for team offsites, which is standard for remote-first organisations. If a role requires weekly office attendance, it won’t appear here.