Senior Data Engineer

We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. This individual will also take on the role as a Delivery Lead in data engineering projects, leading a small team of engineers, and ensuring seamless project execution. The ideal candidate will have a strong background in data engineering, cloud technologies, project delivery, and stakeholder management.

Key Responsibilities

• Data Pipeline Development: Design and implement scalable data integration pipelines, ensuring high performance and reliability.
• Data Modeling & Transformation: Develop robust data models and transformation logic to support data analysis and business needs.
• Data Warehouse & Governance: Set up and manage data warehouses, implement data governance controls, and ensure compliance with organisational standards.
• Dashboard Development: Create dashboards that provide actionable insights, helping stakeholders make informed decisions.
• API Development: Build scalable data APIs to facilitate data access and integration across systems.
• Technical Leadership: Lead a team of data engineers, providing technical guidance and ensuring best practices in data engineering and project execution.
• Stakeholder Management: Collaborate and communicate effectively with internal and external stakeholders to gather requirements, manage expectations, and ensure alignment with project goals.

Requirements

• Experience:
• At least 5 years of relevant experience in data and AI projects.
• Minimum 3 years of experience working with cloud platforms (preferably GCP; AWS or Azure is acceptable).
• Technical Skills:
• Cloud Data Platforms: Proficient in working with cloud-based data tools and platforms, including GCP BigQuery, Snowflake, Azure Synapse, AWS Redshift, Databricks, Fivetran, Confluent, and MongoDB Atlas.
• Big Data & Open Source Expertise: Leverage open-source big data technologies such as Spark, Hadoop, Apache Beam, Kafka, dbt, and Airflow to orchestrate, process, and analyse large datasets efficiently.
• Programming Skills: Strong programming abilities in Python, SQL, and NoSQL databases, with a focus on data transformation, processing, and querying.
• API & Microservices Development: Experience in designing and building scalable microservices and data APIs (considered a bonus).
• Generative AI Technologies: Familiarity with Generative AI tools and frameworks, with the ability to integrate them into data solutions (considered a bonus).
• Data Management & Governance: Good knowledge of data management practices and data governance frameworks, including implementing policies, ensuring data quality, and maintaining compliance (considered a bonus).
• Communication & Management Skills:
• Proven experience leading a team of data engineers and demonstrated ability to manage projects and ensure successful delivery.
• Excellent verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences.
• Strong stakeholder management skills to navigate expectations and drive alignment across teams.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Certification in cloud platforms such as Google Cloud Professional Data Engineer, AWS Certified Big Data, or Azure Data Engineer Associate.

What We Offer

• Competitive salary and benefits package.
• Opportunities to work on cutting-edge data and AI projects on various cloud platforms.
• A collaborative and innovative work environment.
• Career growth and learning opportunities.