Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
 
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
 
From prototype to real-world impact - be part of a global shift by doing work that matters.

Are you ready to lead cutting edge data transformations on Google Cloud? We're seeking a top-tier Senior Data Engineer (preferably with hands-on experience in Google Cloud) to join our growing team in Singapore. This isn't just a back-office technical role; you will be the strategic partner guiding our customers through their most critical data challenges.

In this role, you will play a key part in building, optimising, and maintaining data solutions that support advanced analytics, machine learning, and data-driven decision-making.

If you thrive on solving complex problems, modernising data platforms for the AI-era, and leading from the front, this is your opportunity.

Requirements:

• Proven experience as a Data Engineer, preferably with expertise in GCP services (e.g., BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage).
• Strong knowledge of data architecture, modeling, and ETL/ELT processes.
• Hands-on experience with big data frameworks and modern data tools.
• Strong communication and collaboration skills.
• Familiarity with machine learning, AI, and advanced analytics is a plus.

Technical Expertise:

• 5+ years of experience in Data Engineering (Engineer); 6-8+ years for Sr. Engineer
• Strong proficiency in Python and Apache Spark.
• Hands-on experience designing and implementing ETL/ELT processes and data pipelines.
• Solid expertise in SQL scripting and query optimisation.
• Experience with Databricks, Snowflake or other modern cloud data platforms.
• Background in cloud data technologies and tools, with exposure to:
  • Data processing frameworks (Spark, Hadoop, Apache Beam, Dataproc, or similar)
  • Data warehouses (BigQuery, Redshift, or equivalent)
  • Real-time streaming pipelines (Kinesis, Kafka, or similar)
  • Batch and serverless data processing
• Strong analytical skills with the ability to work with both structured and unstructured data.
• Experience in leading IT projects and managing stakeholder expectations.

Certifications (preferred):

• Any Cloud Professional Data Engineer or Cloud Architect certifications (Google Cloud preferred).
• Relevant certifications in AI/ML or Kubernetes (e.g., TensorFlow Developer, CKAD).

Discover some of the global benefits that empower our people to become the best version of themselves:

• Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;  
• Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
• Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
• Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
• Health: Global internal wellbeing programme, access to wellbeing apps;
• Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.