Job
- Level
- Experienced
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 65.000 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop the data infrastructure and build ETL/ELT pipelines to integrate product data, transaction data, and CRM insights into an analytics-ready environment while continuously optimizing it.
Job Technologies
Your role in the team
- As our Data Engineer, you’ll be the architect of Finmatics’ data infrastructure, bringing together product usage data, transactional data, and CRM insights from HubSpot into a unified, analytics-ready environment.
- You’ll work hand-in-hand with Product, Data Science, and Sales and Marketing teams to enable deep understanding of our customers, measure product impact, and unlock data-driven decision-making across the company.
- Establish a secure internal data platform supporting analytics across departments.
- Build ETL/ELT pipelines that integrate product usage data, Finmatics transaction data, HubSpot CRM, and other sources.
- Ensure data accuracy, quality, and compliance (including GDPR).
- Collaborate with Product to track feature adoption and usage patterns.
- Partner with Data Science to provide clean, structured datasets for modeling.
- Support Sales with customer insights for growth and retention strategies.
- Monitor, troubleshoot, and continuously improve data pipelines and infrastructure performance.
- Utilize modern tools, including LLMs and other high-productivity technologies.
- Mentor and coach junior colleagues in technical competencies.
- Collaborate with product managers and designers to define and prioritize features.
- Foster a culture of continuous learning and knowledge sharing within the team.
- Follow agile practices, participating actively in sprint planning, reviews, and retrospectives.
- Ensure timely project delivery while maintaining and promoting high-quality standards.
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Our expectations of you
Education
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Qualifications
- Proven expertise with data warehouse technologies (Snowflake, BigQuery, Redshift, Databricks or similar).
- Strong skills in SQL and Python (or another scripting language).
- Strong understanding of data modeling for analytics and customer data platforms.
- Knowledge and active usage of modern, LLM-supported development tools.
- Excellent communication skills in English; German business fluency is a strong bonus.
- Knowledge of real-time data streaming (Kafka, Flink) is nice to have.
- Familiarity with customer data platforms and churn/retention/product analytics is nice to have.
- Expertise in DevOps practices and tools such as Docker, Kubernetes, and Jenkins is nice to have.
- Strong communication and interpersonal skills.
Experience
- 3+ years of experience as a Data Engineer or similar role.
- Experience with ETL/ELT tools (dbt, Airflow, Fivetran, Stitch, etc.).
- Cloud platform experience (AWS, GCP, or Azure).
- SaaS scale-up experience is nice to have.
- Experience in coaching and developing junior team members.
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Benefits
Work-Life-Integration
Food & Drink
More net
Health, Fitness & Fun
Job Locations
Location Vienna
Austria
Topics that you deal with on the job
This is your employer
Finmatics GmbH
Finmatics software supports companies and tax firms in experiencing the future of accounting today. Our digital assistants combine smart software that learns with comprehensive know-how that grows with you. As a result, our customers benefit from intelligent automation of their accounting processes - fast, easy and audit-proof.
Description
- Founding year
- 2016
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Data Engineer
- Salary
- from 65.000 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
