Senior Data Engineer (Cloud)

Social Discovery Group; Ireland; Remote; USD 110,000 - 170,000; Full time

Benefits offered by this job

Remote opportunity

Vacation 28 days

Wellness days 7

Referral bonuses up to $5000

Training reimbursement 50%

English lessons discount

Health benefits up to $1000/year

Workspace reimbursement every 3 years

Job summary

Social Discovery Group (SDG) seeks a Senior Data Analyst to join our main product team. You will migrate data products from MS SQL Server to a modern cloud platform and redesign legacy processes for the target architecture.

You will build scalable ETL pipelines, validate data quality, and collaborate with stakeholders to clarify requirements while contributing to reliability, performance, and cost optimization of data engineering workflows.

Qualifications

• Strong Data Engineering background with advanced SQL and relational databases.
• Strong hands-on experience with the GCP data stack (BigQuery, Cloud Composer, and GCS).
• Experience building production ETL/ELT pipelines and analytical data models.
• Experience deploying managed cloud data services including workflow orchestration and analytical warehouses.
• Strong Python skills and experience applying them across data engineering and automation.
• Good understanding of cloud infrastructure concepts: IAM, networking, monitoring, CI/CD.
• Experience with legacy data warehouses and complex business logic.
• Fluent Russian.

Responsibilities

• Migrate data workloads 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.

Skills

Advanced SQL

Relational databases

GCP data stack

ETL/ELT pipelines

Python

Cloud infrastructure

Data modeling

Russian

Tools

BigQuery

Cloud Composer

Google Cloud Storage

MS SQL Server

Job description

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 looking for Senior Data Analyst to join our main product team.

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.