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IMPACT BRANDS

Data Engineer (REMOTE)

IMPACT BRANDS
Lithuania · Full-time · Mid-Senior

IMPACT BRANDS is a leading contributor to the health and wellness industry. With a journey from 5 to over 300 colleagues, and the expansion to a diverse family of 7+ brands (PureHealth Research, Nation Health MD, Pureance, Trumeta, PetMade, VitalPeak). We are dedicated to helping improve the lives of people all over the world.

At IMPACT BRANDS, we embrace remote work culture and cherish open-mindedness, high energy, and adaptability qualities that are essential in our dynamic environment. We prioritize the growth of every team member, regardless of their location, offering advancement from intern to leadership roles.

IMPACT BRANDS has already positively impacted the lives of 3 million people worldwide. Join us as a remote Data Engineer and let’s impact billions together!

Our Treats:

  • Remote work. Whether it's your home office, a cozy cafe, or a scenic spot across the globe, you have the autonomy to choose your workspace.
  • Home office budget. A home office allowance and the possibility to choose between a MacBook or a Windows-based workstation.
  • Health and wellness budget. We value your well-being - investment in your health is not just encouraged but actively supported.
  • More free time. Enjoy 25+ Working Days of Holidays to recharge and relax from work.
  • Volunteering. Embrace the opportunity to dedicate 2 paid days each year towards personal growth and community impact.
  • Personal development opportunities. Improve yourself through training online or conferences worldwide - Miami, Las Vegas, Dubai, Bangkok, etc.
  • Professional growth. Exceptional performance is recognized and rewarded, offering opportunities for career advancement based on your contributions to our success.
  • Achievement Bonus. We celebrate our company's successes by offering an annual bonus.
  • Our company products. Get exclusive access to our health and wellness products.
  • Flatwork culture. The chance to influence the company right from the start.
  • Team spirit. Enjoy regular team-building activities and engaging online events.
  • A whole bunch of other benefits (Welcome Package, etc.).


Bits of your job:

  • Design, build, and maintain robust cloud infrastructure to support data engineering processes, ensuring scalability, security, and reliability.
  • Develop and optimize automated data pipelines for efficient extraction, transformation, and loading (ETL) of structured and unstructured data into BigQuery.
  • Integrate data from various sources (APIs, databases, spreadsheets) into BigQuery and ensure data accuracy, consistency, and integrity through validation and quality checks.
  • Monitor, maintain, and optimize data workflows, proactively resolving issues to ensure continuous operation.
  • Document workflows, follow data regulations, and continuously improve processes by staying updated on new technologies.
  • Perform other tasks to support the overall goals and objectives of the team.


Key expectations:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Experience or familiarity with Google Cloud Platform.
  • Strong interest in data engineering, automation, and process improvement.
  • Proficiency in scripting or programming languages (e.g., Python, SQL) for data extraction, manipulation and automation.
  • Understanding of data management concepts, along with familiarity with data integration tools and techniques.
  • Ability to work collaboratively in a dynamic and fast-paced environment.
  • Excellent communication, documentation, and problem-solving skills.
  • Strong analytical and critical thinking abilities.
  • High attention to detail and commitment to continuous learning.
  • Basic knowledge of digital marketing and e-commerce.


Salary: 1600-2200 €/mon. net

Keep in mind that we are open to discuss a different salary based on your skills and competences.

Key Skills

Ranked by relevance

cloud python sql etl
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Posted
Apr 10, 2025
Type
Full-time
Level
Mid-Senior
Location
Lithuania

Industries

Engineering Services

Categories

Engineering

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