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Senior Data Engineer
Senior Data EngineerQueer Networks • WorkFromHome, Free State, South Africa
Senior Data Engineer

Senior Data Engineer

Queer Networks • WorkFromHome, Free State, South Africa
1 day ago
Job description

Hornet ( Queer Networks ) is the world’s leading queer tech company providing a digital home for gay men to safely connect with each other anytime, anywhere. Amplifying the radical affirmative power of the queer community with cutting‑edge technology, Queer Networks serves the LGBTQ community with products such as the gay chat app Hornet with over 100 million users worldwide, the gay live‑streaming app Hornet Live, and HornetX, a map‑based web app for gay guys. Our diverse team spans the world, bringing together various perspectives and incredible talent.

Do you want to join Hornet? We are looking for a Senior Data Engineer at Hornet starting immediately.

Your Tasks

In this role you will be the owner of Hornets raw data layer, ensuring that downstream analytics & AI applications can build on a consistent and trustworthy foundation. You will design and maintain the pipelines that bring our user product and monetization data into BigQuery while enforcing standards that guarantee quality, scalability, and reliability.

  • Own the ingestion of raw data from Firebase back‑end / front‑end systems and external partners into BigQuery.
  • Design, build and maintain robust ETL / ELT pipelines that are efficient, evolvable and scalable to TB‑scale workloads.
  • Implement data contracts, schema enforcement, and quality checks at the ingestion layer to prevent downstream issues.
  • Proactively monitor and debug pipelines, ensuring resilient, idempotent ingestion processes.
  • Optimize data storage and query performance in BigQuery, balancing cost efficiency and scalability.
  • Collaborate with cross‑functional teams to integrate new data sources and align pipeline development with analytics needs.
  • Contribute to engineering best practices : document processes, review code, and mentor colleagues where appropriate.
  • Partner with the AI Engineer on aligning ingestion with broader architectural standards and long‑term infrastructure goals.

Your Profile & Experience

Required Qualifications

  • 5 years of Data Engineering experience with a proven track record of delivering reliable, scalable data pipelines.
  • Strong expertise in SQL (BigQuery preferred) and Python for production‑ready data workflows.
  • Deep knowledge of cloud data warehouses and orchestration frameworks (e.g. Mage / Airflow).
  • Experience implementing data contracts, schema enforcement and data quality frameworks.
  • Strong problem‑solving skills with a focus on pipeline reliability, scalability and cost optimization.
  • Familiarity with CI / CD practices and version control systems (GitHub).
  • Excellent communication skills and ability to collaborate effectively with analytics and engineering peers.
  • Bachelor’s degree in Computer Science, Engineering or related field.
  • Preferred Qualifications

  • Familiarity with event‑driven architectures and data for experimentation or ML pipelines.
  • Prior work with subscriptions ad‑tech or social networking platforms.
  • Understanding of data governance, privacy and security best practices.
  • Our Benefits

  • You will be part of our mission to provide a safe space for the LGBTQ community.
  • Work alongside an innovative and passionate Data‑Analytics‑AI squad pushing the boundaries of what’s possible.
  • Enjoy a flexible, remote‑first work environment with teammates across the world.
  • We offer an open contract with monthly invoicing or employment depending on circumstances.
  • Do you want to become a part of Hornet? To apply, please submit your resume. We do not ask for cover letters, but we give bonus points to candidates who can articulate their passion for our mission in a concise (1‑2 sentence) statement. We are looking forward to hearing from you! If you have any questions, feel free to reach out. We are proud to foster a workplace free from discrimination and strongly believe that diversity of experience, perspectives and backgrounds will lead to a better environment for our team members and a better product for our users and community.

    Key Skills

    Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala

    Employment Type

    Full‑Time

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    Senior Data Engineer • WorkFromHome, Free State, South Africa

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