Senior/Principal Data Engineer

🕒 May 1

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Sigma Software Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2002

🎮 Gaming

📡 Telecommunications

Software Development • Gaming • Telecommunications

Sigma Software Group is a multinational company, established in 2002, that specializes in providing high-quality software development, graphic design, testing, and support services. The company focuses on delivering solutions across various industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, and healthcare. Sigma Software values professional growth, offers remote work opportunities worldwide, and caters to world-renowned clients like AstraZeneca, Scania, and SAS. The company emphasizes a culture of continuous education, mentorship, and flexible work environments, making it a preferred workplace for IT specialists aiming to work on complex solutions utilizing cutting-edge technologies. Sigma Software is committed to innovative solutions and engineering the future while also contributing to social causes such as charitable work in Ukraine.

📋 Description

• 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

• 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

• Remote work options