Senior Data Engineer (Cloud)

Social Discovery Ventures; Polska; Ibrido; PLN 469.000 - 626.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote opportunity

Vacation 28 days/year

Wellness days

Bonuses up to $5000

Training reimbursement 50%

Health benefits

Work equipment provided

Descrizione del lavoro

Social Discovery Group (SDG) is seeking a Senior Data Engineer to migrate on-prem MS SQL data warehouse to Google Cloud and evolve our cloud data platform. You will work hands-on with the team to design scalable pipelines, migrate data products, and build AI-assisted automation for data workflows.

You will collaborate with analysts and business stakeholders, ensuring data quality, reliability, and cost optimization while enabling new data products and AI-driven enhancements.

Competenze

• Strong Data Engineering background with advanced SQL and relational databases.
• Hands-on experience with the GCP data stack and managed services like BigQuery, Cloud Composer, and GCS.
• Experience building production ETL/ELT pipelines and analytical data models.

Mansioni

• Migrate data products and analytical workloads from MS SQL Server to a modern cloud data platform.
• Analyze legacy SQL, ETL processes and business logic and redesign them for the target architecture.
• Build and maintain scalable batch data pipelines and analytical models.
• Validate migrated data and investigate discrepancies to ensure data quality.
• Collaborate with analysts and stakeholders to clarify requirements and business logic.
• Contribute to platform reliability, performance, cost optimization and engineering practices.
• Develop AI-assisted engineering automation for Data Engineering workflows.

Conoscenze

Advanced SQL

GCP stack

Python

ETL/ELT

Data modeling

CI/CD

Cloud infrastructure

Strumenti

BigQuery

Cloud Composer

GCS

MS SQL

Descrizione del lavoro

Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another.

Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world.

We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world.

We’re proud to be a two‑time “Great Place to Work” winner (USA & Japan, 2024-2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025).

We are the Data Engineering team at SDG, looking for a Senior Data Engineer to strengthen our cloud expertise and help accelerate the migration of our on‑premise MS SQL data warehouse to Google Cloud. You will work hands‑on with the team on building and evolving our cloud data platform and migrating existing data products to the new architecture. After the migration is completed, you will remain part of the team, helping us develop new data products, improve the platform, and advance our engineering and AI automation practices.

Your main tasks will be:

• Migrate data products and analytical workloads from MS SQL Server to a modern cloud data platform.
• Analyze legacy SQL, ETL processes and business logic and redesign them for the target architecture.
• Build and maintain scalable batch data pipelines and analytical models.
• Validate migrated data, investigate discrepancies and ensure data quality.
• Work with analysts and business stakeholders to clarify requirements and business logic.
• Contribute to platform reliability, performance, cost optimization and engineering practices.
• Develop and improve AI‑assisted engineering automation for Data Engineering workflows, including shared agent harnesses, specifications, reusable skills, evaluation frameworks and quality controls.

We expect from you:

• Strong Data Engineering background with advanced SQL and relational databases.
• Strong hands‑on experience with the GCP data stack (or any other Cloud), including deep practical knowledge of managed services such as BigQuery, Cloud Composer, and GCS.
• Experience building production ETL/ELT pipelines and analytical data models.
• Experience deploying, configuring and operating managed cloud data services, including workflow orchestration, managed/serverless compute and analytical warehouses.
• Strong Python skills (or another general‑purpose programming language) and experience applying them across data engineering, platform automation, and analytical workloads.
• Good understanding of cloud infrastructure concepts: IAM, networking, monitoring, CI/CD and infrastructure configuration.
• Experience working with legacy data warehouses and complex business logic.
• Fluent Russian

What do we offer:

• REMOTE OPPORTUNITY to work full‑time;
• The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment;
• Vacation 28 calendar days per year;
• 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave;
• Bonuses up to $5000 for recommending successful applicants for positions in the company;
• 50% payment for professional training, international conferences, and meetings;
• Corporate discount for English lessons;
• Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self‑purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children);
• Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co‑working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co‑working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years;
• Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc.