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Head of Data Engineering Team at Social Discovery Group

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Over 3 years in leadership role, Strong database architecture knowledge, Experience with ETL tools and cloud platforms, Familiar with Airflow and Python frameworks, Understanding of machine learning fundamentals.

Key responsabilities:

  • Develop strategies for data infrastructure
  • Collaborate to understand business requirements
  • Optimize processes for data management
  • Ensure best practices for data quality and security
  • Oversee ETL/ELT processes and performance
Social Discovery Group logo
Social Discovery Group SME https://socialdiscoverygroup.com/
1001 - 5000 Employees
See more Social Discovery Group offers

Job description

Social Discovery Group (SDG) is a global technology company that builds apps at the intersection of dating, social, and entertainment. The company's portfolio includes 70 social discovery platforms with a focus on AI, game mechanics, and video streaming. We actively support and invest in social discovery startups worldwide through our CVC fund.

More than 500 million people in 150 countries enjoy our products, and we strive to have ten times as many.

SDG invests
in social discovery technology startups around the world. Our Investments include Open AI, Patreon, Flo, RAW, EVA AI, Clubhouse, Magnet, Woebot, Flure, Astry, Coursera, Academia, Harbour, Space, Auto1, DocSend, AppAnnie, Rapyd, Boom Supersonic, Trading, View, K-Health and many others.

We solve the problem of loneliness, isolation, and disconnection with the help of digital reality.

Our digital nomad team of more than 1200 professionals works all over the world. Together, we are solving the prevalent problem of loneliness and shaping Social Life 3.0 — a new digital reality where people will be able to fulfil their needs for communication and attention from other people and artificial life forms.

Our teams of digital nomads live and work remotely from Cyprus, Malta, the USA, Thailand, Indonesia, Hong Kong, Japan, Australia, Poland, Israel, Turkey, Latvia and many others.

We are seeking a Head of Data Engineering Team to join the Research Center of our Core Business team.

The research center serves as the analytics hub for our core products. Our team comprises analysts in various areas, including a group of data engineers, a team of product analysts, a focus on machine learning, and a small department dedicated to UX research. This environment allows us to tackle complex and creative challenges collaboratively within the same department. Employees are continually growing as professionals due to the high standards set for all team members, coupled with a warm and friendly atmosphere.

Your main tasks will be:

  • Develop and implement a strategy for scaling and optimizing the data infrastructure to ensure high performance, scalability, and reliability.
  • Collaborate with product and business teams to understand their requirements and translate them into technical specifications.
  • Optimize processes for data collection, storage, processing, and transmission to support analytics solutions and machine learning models.
  • Ensure adherence to best practices for data quality, security, and metadata management across the organization.
  • Introduce new technologies and tools to enhance team efficiency and scale the data infrastructure.
  • Oversee the design, development, and maintenance of ETL/ELT processes while monitoring and optimizing system performance.
  • Manage projects and coordinate interactions between internal teams, external partners, and contractors.

We expect from you:

  • Over 3 years of experience in a leadership role in data engineering or software development.
  • Strong knowledge of database architecture, ETL tools, and modern cloud platforms for data processing (e.g., AWS, Azure, Google Cloud).
  • Experience working with Airflow and Python frameworks.
  • Understanding of machine learning, analytics, and business intelligence fundamentals.
  • Proficiency in MS SQL and NoSQL databases.

What do we offer:

  • REMOTE OPPORTUNITY to work full time;
  • 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;
  • Full payment for professional training, international conferences and meetings;
  • Corporate discount for English lessons;
  • Health benefits. If you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee, according to the paychecks. 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 time off, merch, team building activities, massage certificates, etc.

Sounds good? Join us now!

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Leadership

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