Lead Data Engineer
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What you'll do
- Solve the hardest problems with data and AI to deliver social and economic value.
- Develop and maintain relationships with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
- Build, lead and mentor a world-class team of data engineers.
- Maintain a culture of excellence and lead with confidence, charisma, context, and humility working effectively at all levels.
- Create and deliver technical blogs & thought leadership on data engineering.
- Invest continuously in building and extending your knowledge and skills.
What they're looking for
- Exceptional expertise in expertise in designing, building, and maintaining enterprise-scale data platforms and pipelines.
- Practical hands-on experience with at least three major data platforms: Snowflake, Databricks, BigQuery, MongoDB, Cassandra, PostgreSQL, MySQL, Oracle, Neo4j.
- Proficiency with modern data processing frameworks: Spark, dbt, Airflow, or similar technologies.
- Advanced knowledge of data streaming solutions: Kafka, Spark Streaming, Flink, or equivalent.
- Expert-level coding ability in at least one language (Python, Scala, Java) and working knowledge of others.
- Strong experience with cloud data services (AWS, Azure, GCP) including migration strategies and optimization.
- Practical experience implementing data governance, security, and compliance frameworks.
- 10 years of experience delivering and managing data solutions through incubation, proofs-of-concept, to deployment and commercialisation.
- Strong ability to develop and maintain relationships amongst clients, colleagues, and partners.
- Ability to develop and deliver client proposals, and build consensus supported by detailed analysis, deep expertise and effective communication.
- Demonstrated ability to guide, develop and mentor data engineers.
- Demonstrated ability to create technical blogs & thought leadership on data engineering and management.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Temus is a Temasek-backed consulting firm providing digital transformation solutions for the private and public sectors. We aspire to be a strategic partner in realising the Singapore Government’s Smart Nation vision. We are headquartered in Singapore and have more than 400 employees across a wide range of disciplines in strategy, design, architecture, technology, data & AI.
Your objectives
- Solve the hardest problems with data and AI to deliver social and economic value.
- Develop and maintain relationships with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
- Build, lead and mentor a world-class team of data engineers.
- Maintain a culture of excellence and lead with confidence, charisma, context, and humility working effectively at all levels.
- Create and deliver technical blogs & thought leadership on data engineering.
- Invest continuously in building and extending your knowledge and skills.
Your background
- Exceptional expertise in expertise in designing, building, and maintaining enterprise-scale data platforms and pipelines.
- Practical hands-on experience with at least three major data platforms: Snowflake, Databricks, BigQuery, MongoDB, Cassandra, PostgreSQL, MySQL, Oracle, Neo4j.
- Proficiency with modern data processing frameworks: Spark, dbt, Airflow, or similar technologies.
- Advanced knowledge of data streaming solutions: Kafka, Spark Streaming, Flink, or equivalent.
- Expert-level coding ability in at least one language (Python, Scala, Java) and working knowledge of others.
- Strong experience with cloud data services (AWS, Azure, GCP) including migration strategies and optimization.
- Practical experience implementing data governance, security, and compliance frameworks.
- 10 years of experience delivering and managing data solutions through incubation, proofs-of-concept, to deployment and commercialisation.
- Strong ability to develop and maintain relationships amongst clients, colleagues, and partners.
- Ability to develop and deliver client proposals, and build consensus supported by detailed analysis, deep expertise and effective communication.
- Demonstrated ability to guide, develop and mentor data engineers.
- Demonstrated ability to create technical blogs & thought leadership on data engineering and management.
- Active engagement in the data community taking and giving courses, following podcasts, reading books, attending meetups, and developing projects.
- A good sense of humour. 😉
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Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, partnership status, sexual orientation, or gender identity.
We see the diversity of our team as a strategic advantage, and we work actively to maintain it.
By applying for this role, you have read and acknowledge the data privacy statement via this link -Â temus.com/job-applicant-data-protection/
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Company
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