Full stack software engineer developing integrations for customer backends with the Obex Platform. Collaborating in a hybrid environment for financial advisory technology at Keylane.
About the role
- Lead the design, implementation, and optimisation of data architectures primarily on AWS, with exposure to Azure when relevant.
- Demonstrate deep expertise in AWS data services such as Lambda, Glue, Step Functions, and Redshift.
- Enforce and evolve data governance and security standards, ensuring compliance with corporate and regulatory requirements.
- Define and implement Infrastructure as Code (IaC) solutions using Terraform and CloudFormation.
- Apply strong Python and SQL skills to prototype data pipelines and establish technical standards.
- Design and optimise data models and queries for large-scale datasets (including Iceberg, DuckDB, and PostgreSQL).
- Architect and manage ETL processes and data integration into Redshift, PostgreSQL, and other cloud-native stores.
- Implement and monitor orchestration workflows using Apache Airflow and AWS Step Functions.
- Utilise Athena for interactive queries and S3-based data analytics.
- Oversee logging and tracing through AWS CloudTrail, X-Ray, and other monitoring tools to ensure system reliability.
- Lead optimisation and migration projects, ensuring operational excellence with minimal disruption.
- Provide technical mentorship, guiding engineers and ensuring adherence to best practices.
Requirements
- 10+ years of professional experience in data architecture and cloud platforms, with a focus on AWS.
- Proven expertise in AWS data services (Lambda, Glue, Step Functions, Redshift) and exposure to Azure ecosystems.
- Hands-on experience implementing Infrastructure as Code (IaC) using Terraform and CloudFormation.
- Strong Python and SQL programming skills, including prototyping and coding standards definition.
- Experience working with Iceberg tables and managing large-scale datasets efficiently.
- Solid understanding of data modelling, query optimisation, and data integration patterns.
- Experience building and maintaining ETL pipelines and orchestration workflows (Airflow, Step Functions).
- Familiarity with Kafka for event streaming and real-time data processing.
- Demonstrated success leading data migration, optimisation, and production monitoring projects.
- Proven track record of defining and enforcing data governance and security frameworks.
- Experience in Azure Databricks for analytics and data engineering is a plus.
- Excellent communication, teamwork, and leadership skills, with the ability to mentor and influence technical teams.
- Fluent in English. French is a Plus
- Must be a Portuguese or European citizen or have a work permit for Portugal.
Benefits
- Meal allowance of €8.32 per day
- Flexible benefits option
- Private Medical Insurance
- 22 days of annual leave (increasing every 3 years up to a maximum of 25 days)
- Training Program through KLX (Keyrus Learning Experience) Platform
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