Staff Data Engineer
DKatalis · Jakarta
Sekilas tentang pekerjaan ini
Di DKatalis, Staff Data Engineer akan memimpin desain dan pengembangan infrastruktur data serta roadmap platform untuk mendukung produk digital. Posisi di Jakarta ini ditujukan bagi profesional dengan pengalaman minimal 10 tahun di software/data engineering, yang juga membimbing engineer dan berkolaborasi lintas fungsi.
Tugas utama
- Memimpin desain infrastruktur data dan pipeline ETL batch/streaming.
- Menetapkan standar desain model data, kualitas, dan metadata lintas squad.
- Menerapkan tata kelola data otomatis dan memastikan kepatuhan terhadap kebijakan privasi.
- Berkolaborasi dengan pemilik Product dan Engineering dalam pengembangan produk data.
- Membimbing engineer serta meningkatkan kualitas kode, eksekusi, dan otomatisasi.
Kualifikasi utama
- Pengalaman 10+ tahun di software/data engineering dan model data produksi.
- Bahasa Inggris lisan dan tulisan; pengalaman bekerja di lingkungan Agile.
- Keahlian sistem big data/distributed systems, termasuk Apache Kafka dan Airflow.
- Keahlian cloud data warehouse seperti BigQuery atau Redshift.
- Menguasai Python serta Lean/XP, termasuk TDD, Pair Programming, dan CI/CD.
Ringkasan ini dibuat dengan AI dari deskripsi di bawah. Yang berlaku adalah deskripsi lengkapnya di situs DKatalis.
Deskripsi pekerjaan
About DKatalis
DKatalis is a financial technology company with multiple offices in the APAC region. In our quest to build a better financial world, one of our key goals is to create an ecosystem-linked financial services business. DKatalis is built and backed by experienced and successful entrepreneurs, bankers, and investors in Singapore and Indonesia who have more than 30 years of financial domain experience and are from top-tier schools like Stanford, Cambridge London Business School, JNU with more than 30 years of building financial services/banking experience from Bank BTPN, Danamon, Citibank, McKinsey & Co, Northstar, Farallon Capital, and HSBC.
About the role
Lead the design and evolution of our organisation’s data infrastructure, ensuring it operates as a robust, resilient, and highly automated ecosystem. You will be responsible for the technical roadmap of the data platform, mentoring engineers in your squad, and driving cross-functional alignment to deliver high-impact digital products.
What will you do
- Technical Leadership: Leading the design and scaling of data infrastructure; overseeing the architecture of complex ETL pipelines (batch/streaming) to ensure system resilience.
- Data Excellence: Driving standards for data model design, quality frameworks, and high-quality metadata across multiple squads.
- Governance & Security: Implementation of automated data governance tooling and ensuring all squads adhere to privacy policies and procedures.
- Strategic Collaboration: Partnering with Product and Engineering owners to design and refine the data product from concept to implementation.
- Mentorship & Coaching: Mentoring budding engineers in good engineering practices and fostering a culture of constructive public and private feedback.
- Operational Excellence: Continuously improving code quality, product execution, and automation while balancing perfection with timely value delivery.
What you need to have
- You have at least 10+ years of professional experience in software/data engineering, building highly scalable applications.
- Good written and spoken English
- Extensive track record of deploying and maintaining data models in high-traffic production environments.
- Systems: Expert knowledge of big data/distributed systems including Apache Kafka and Airflow
- Cloud: Deep expertise in cloud data warehouses such as BigQuery or Redshift.
- Programming: Mastery of Python, including abstract programming concepts and design patterns.
- Mentorship: Passion for grooming the team collectively to become the better version of themselves.
- Agile Excellence: Experience with Lean/XP practices (TDD, Pair Programming, CI/CD) and working in Agile environments.
- Pragmatism: A mindset that understands the balance between technical perfection and delivering value in a timely manner.