Data Engineer - Python & SQL (Homebased)

Job description

Job Summary

Associate Data Engineer proficient in Python & SQL. Remote-based role. Lead data projects, optimize workflows, and drive innovation. Join us!

Job Description

About Us:

Outsourced. ph is a leading ISO-certified Philippines offshore outsourcing company that provides dedicated remote staff to some of the world's leading international companies. Outsourced is recognized as one of the Best Places to Work and has achieved Great Place to Work Certification. We are committed to providing a positive and supportive work environment where all staff can thrive. As an Outsourced staff member, you will enjoy a fun and friendly working environment, competitive salaries, opportunities for growth and development, work-life balance, and the chance to share your passion with a team of over 1,000 talented professionals.

The Client

It is a growth marketing and analytics consultancy with team members based in Australia, the Philippines, Canada, Spain & Switzerland. They work with VC-funded scale ups, PE-owned SMEs and digital teams in large corporates to drive growth leveraging data, personalisation, high-velocity experimentation, and analytics.

They love solving problems, getting stuff done and having a good time doing it. You will be working directly with other consultants, clients and contractors.

The Role

  • Design & implement data and analytics infrastructure together with our client’s engineering teams with a particular focus on data flows and single-source of truth architecture
  • Build out our internal data and analytics tooling
  • Combine many different internal and external data sources (e.g. backend, tracking, CRM, marketing channels)
  • Leverage your analytics skills to deliver results and insight to clients across business functions (marketing, sales, operations, customer service)
  • Leverage & manage contractors to do your work more efficiently
  • Generate competitive insights for our clients
  • Coach client teams on the use of tooling, and analytics methodologies
  • Choose the most appropriate technologies/tools to solve each problem most efficiently
  • Keep your hand on the analytics pulse, evaluating emerging technologies, tooling and approaches

What we are Offering

  • Globally distributed team with the option to work fully remote or in a co-working space
  • Training & career development
  • First-hand experience in building a new business
  • High-impact work environment—your work will make a big difference
  • Learn from a small, highly experienced team with a strong track record in their fields
  • A diverse team that likes to have fun
  • Regular team-building events (based on location)

Our Ideal Candidate

  • At least 3 years of work experience in a data engineering or related role
  • Strong commercial understanding, especially around growth and product analytics
  • A great communicator that can translate business problems into technical solutions and convey them to non-technical stakeholders
  • Strong SQL-skills—experience with dbt is a plus. We work primarily in PostgreSQL and Redshift
  • Good skills in Python (esp. pandas, numpy) or similar; Familiarity with Jupyter Notebook is a plus
  • Quick to learn and apply new knowledge
  • Highly creative, thinking on your feet and results-oriented
  • DevOps understanding (AWS, GCP; especially serverless) is a plus
  • Statistics knowledge is a plus
  • Basic frontend development experience is a plus
  • Experience with Segment.io, Snowplow, GTM, hightouch, census is a plus

Working Schedule

  • Monday-Friday 9am-6pm PH Time


  • Homebased; should have a strong internet connection (minimum of 20 MBPS)

By clicking on the Apply now or Submit button I hereby allow Outsourced Quality Assured Services, Inc. (Outsourced) to store and collect my personal information for the purposes of employment application. As such, I agree and authorize Outsourced to collect, store, or continue to use my personal information for the above-stated purpose, and to retain my personal information for a period of 1 year, and for these purposes only.

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