We are looking for an experienced Data Engineer with a strong technical background in data engineering, data architecture, and data pipeline development. The successful candidate will work within an Agile team to design, develop, test, and deploy data solutions that meet business requirements while adhering to the client's data standards and frameworks.
The ideal candidate is delivery-focused, collaborative, and capable of engaging with business stakeholders to translate requirements into robust, scalable technical solutions.
Key Responsibilities
Refine and translate business requirements into technical solutions aligned with the client's data standards, architecture, and frameworks.
Design, develop, and implement data pipelines, data processes, and APIs within the existing data platform and technology stack.
Develop and maintain data integration solutions using Python, SQL, REST APIs, and SOAP APIs.
Conduct development environment testing and provide supporting evidence of test results.
Collaborate with QA engineers during System Integration Testing (SIT) and support testing activities in the designated environment.
Manage and execute production deployments, ensuring adherence to established release and CI/CD processes.
Troubleshoot and resolve production issues related to existing data pipelines and REST APIs.
Collaborate with business stakeholders to clarify requirements, communicate technical solutions, and ensure alignment with business objectives.
Contribute to Agile ceremonies, including refinement, planning, and delivery activities.
Lead the documentation of implemented technical solutions at the user story and data catalogue levels.
Required Qualifications and Experience
Professional Experience
Minimum of 3 years of experience in Data Engineering.
Previous experience in the Financial Services sector is an advantage.
Experience working within Agile delivery teams.
Technical Skills
Sound understanding of data architecture and data modelling principles.
Strong Python programming skills, particularly for data processing using a functional programming approach.
Solid experience with relational databases and SQL.
Previous experience integrating REST APIs into data pipelines and ETL processes.
Previous exposure to SOAP APIs for data integration and ETL processes.
Experience with Git and CI/CD practices, including multi-branch development strategies.
Soft Skills
Fluent in English, with strong written, reading, and spoken communication skills.
Strong team player with a collaborative approach.
Delivery-focused mindset and commitment to quality.
Ability to communicate effectively with business stakeholders beyond purely technical discussions.
Ability to understand business needs and translate them into effective technical solutions.
Nice-to-Have Skills
Experience with dbt.
Exposure to Apache Spark.
Experience developing and maintaining data APIs.
What We Offer
The opportunity to contribute to impactful data engineering initiatives.
Collaboration with multidisciplinary teams in an Agile environment.
The opportunity to design and implement solutions within an established data platform and architecture.
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