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Senior/Principal Data Engineer
Sigma Software GroupSenior Data Engineer implementing scalable data solutions for AI-driven finance platform. Involved in analytics, reporting, and data quality management.
Tech Stack
Tools & technologiesAirflowAmazon RedshiftBigQueryETLPython
About the role
Key responsibilities & impact- Design and implement a scalable data warehouse or data lakehouse to support analytics, reporting, and business KPIs
- Develop and maintain reliable batch and/or streaming data pipelines from internal databases and external systems
- Collaborate with stakeholders to translate business requirements into efficient data models and schemas
- Establish and maintain data modeling standards and best practices
- Implement monitoring, data quality controls, and observability for all data workflows
- Provide well‑structured datasets to enable self‑service analytics for BI and data teams
- Document the data platform, including lineage, definitions, and contracts, to create a shared source of truth for metrics
Requirements
What you’ll need- 6+ years of experience in data engineering
- Strong programming skills in Python
- Proven track record of designing and delivering early‑stage data platforms from concept (v1) to production
- Strong expertise with modern data tooling (e.g., Snowflake/BigQuery/Redshift, dbt, Airflow/Dagster/Prefect, Fivetran/Airbyte, etc.)
- Solid understanding of data modeling, ETL/ELT, and pipeline optimization
- Strong knowledge of data quality, testing, and monitoring best practices
- Upper‑Intermediate English or higher
- Ability to work 12:00-20:00 CET
- WILL BE A PLUS: Experience with AI/ML data pipelines
- Familiarity with finance/accounting datasets
- Knowledge of compliance frameworks such as SOX or GDPR
- Experience mentoring junior engineers
Benefits
Comp & perks- Remote work options
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringPythondata modelingETLELTpipeline optimizationdata qualitydata testingdata monitoringAI/ML data pipelines
Soft Skills
collaborationcommunicationmentoring