Analytics Engineer

Your responsibilities

• Build modular, production-grade data models and datasets using dbt, ensuring data is transformation-ready, tested, and documented.
• Design, develop, and evolve robust data pipelinesfrom ingestion to transformation and modellingusing SQL, Python, and AWS services (S3, Glue, Kinesis, EMR), with clear documentation and monitoring for reliability and anomaly detection.
• Orchestrate data workflows and dependencies using Apache Airflow (or similar tools), ensuring maintainability and performance.
• Collaborate with stakeholders (Data, Product, Engineering, and Business) to translate requirements into high-quality, actionable datasets.
• Engage with data engineering on upstream ingestion and downstream analysis/reporting pipelines.
• Support the implementation and migration of BI/reporting tools, recreating or architecting reporting suites as needed.
• Apply best practices in DataOps (version control, CI/CD, testing, documentation, data lineage).

Key requirements

• Proven 2–5 years experience working in an analytics engineering, data engineering, or related role.
• Advanced proficiency in SQL and Python, with a proven track record in designing, implementing, and optimising data models.
• Hands-on experience with dbt for transformations, testing, and documentation.
• Practical experience with AWS stack, particularly S3, Glue, Kinesis, EMR.
• Familiar with Airflow or similar orchestration platforms.
• Solid understanding of data quality assurance, observability, and data lifecycle management.
• Excellent communication skills with ability to translate business requirements into technical solutions.
• Ability to operate autonomously in a fast-paced and evolving environment.

Additional skills (not essential)

• Familiarity with BI/visualization tools or frameworks (Looker, Tableau, Superset, etc.).
• Previous exposure to data ingestion tools or real-time streaming pipelines.
• Familiarity with data governance frameworks, documentation standards, and scalable analytics platforms.
• Experience working in fast-moving, cross-functional teams in fintech or product-led environments.
• Strong problem-solving, critical thinking, and analytical skills.