Senior Data Engineer

About the role

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.

YOUR MISSION

As a Data Engineer, your mission is to design and develop scalable, high-performance data pipelines that enable seamless data processing, visualisation, and integration into machine learning models.

You'll play a key role in shaping the data engineering foundation of our next-generation AI-driven products, ensuring that data flows efficiently and is readily accessible for advanced analytics.

WHAT YOU’LL DO

- Build Scalable Data Pipelines: Design, develop, and optimize robust data pipelines, making data easily accessible for visualization and machine learning applications.

- Leverage Cutting-Edge Technologies: Work with cloud-based platforms and big data processing tools to create scalable and efficient solutions.

- Collaborate with Cross-Functional Teams: Work closely with data scientists, ML engineers, and analysts in an agile environment to deliver impactful data-driven solutions.

- Partner with Industry Leaders: Integrate best-in-class data solutions by working with Google Cloud Platform, dbt, and Looker.

- Manage Cloud Infrastructure: Architect, maintain, and troubleshoot cloud-based infrastructure to ensure high availability and performance.

- Lead and Mentor Team Members: Provide guidance and mentorship to engineers, supporting their professional development and ensuring best practices in data engineering.

WHAT YOU’LL BRING

- Strong Programming Skills: Expertise in Python and/or Java, with proficiency in SQL.

- Experience in Data Engineering: 5+ years of experience in designing and building scalable data solutions.

- Passion for Data and Analytics: A deep interest in optimizing data workflows and making data-driven decisions.

- Expertise in ETL and Big Data: Hands-on experience with ETL tools, Hadoop-based technologies (e.g., Spark), and data processing frameworks like Beam or Flink.

- High-Quality Code Standards: Ability to write tested, resilient, and well-documented code.

- Cloud Computing Experience: Experience in building and maintaining cloud infrastructure (GCP or AWS is a plus).

- Problem-Solving Mindset: Ability to take ownership and drive projects from concept to completion.

- Strong Communication & Collaboration: Excellent interpersonal skills, with a team-oriented and proactive approach.

- Leadership & Mentorship Skills: Experience in line management and mentoring engineers, helping to grow the team’s technical capabilities.