Senior Data Engineer

Recognised as AWS's Rising Star Partner of the Year for 2023 in EMEA and 2022 in the UK&I, we’re expanding globally with new offices in South Africa and Dubai, a strong presence in the Philippines, and our HQ in the UK.

If you’re ready to join a high-growth AWS partner and take your career to the next level, we want to hear from you.

Join a UK-based tech-driven company at the forefront of financial data innovation. We're looking for a skilled Senior   Data Engineer  for our client's hub in the Philippines.

The client is seeking a capable leader and engineer with a passion for data to join our global team. As the foundational member of their new team in Manila, you will play a pivotal role in recruiting, training, and organising a high-performing engineering function. You and your team will be responsible for designing, building, and maintaining robust systems and infrastructure for processing and analysing large and complex datasets. You will collaborate closely with data scientists, analysts, product managers, and other stakeholders to understand requirements and develop scalable solutions. This is a unique opportunity to shape the future of our data infrastructure and processes, driving impactful projects from the ground up.

Key Responsibilities :

As a Senior Data Engineer, you will play a crucial role in developing and maintaining data pipelines, data warehouses, and cloud-based systems. Your key responsibilities will include :

• Lead out the build of a new team in Manila : Lead efforts to recruit and mentor new team members in Manila, fostering a collaborative attitude and high-performing team environment.
• Create performant batch and streaming data pipelines capable of handling large volumes of data in both real-time market data and batch formats (Apache Airflow, Apache Kafka, Apache Flink).
• Utilize tools like Snowflake to construct reliable and scalable data warehousing solutions.
• Employ Amazon Web Services (AWS) or Google Cloud Platform (GCP) to build robust and scalable cloud-based systems.
• Improve Continuous Integration / Continuous Deployment processes using tools like Jenkins and GitLab to automate development, testing, and deployment.
• Oversee the maintenance and monitoring of various data applications, pipelines, and databases.
• Participate in daily stand-ups and team meetings to coordinate and collaborate on development efforts.
• Interacting with stakeholders to create and build analytical products and services

Experience / Competences :