6 month Fixed Term Contract
Our client is seeking an experienced Data Engineer with strong Databricks and Python skills on AWS. The role involves developing, supporting, and maintaining cloud-based data solutions with a focus on reliability, technical excellence, and timely delivery.
Responsibilities
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Design, develop, and maintain data pipelines, ETL processes, and Lakehouse environments.
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Build and optimize SQL databases, schemas, tables, and stored procedures.
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Collaborate with business and technical teams to gather and implement data requirements.
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Support data integration, transformation, and migration between systems.
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Develop Databricks notebooks, ETL workflows, and job orchestration.
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Contribute to reporting and visualization initiatives using BI tools.
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Participate in Agile/SCRUM processes, version control, and release management.
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Communicate technical issues and solutions clearly to stakeholders.
Qualifications
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5-7 years' experience in Data Warehousing / BI development and data modeling.
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3-5 years' experience with Databricks on AWS and related cloud data solutions.
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Strong proficiency in Python, SQL, and relational databases (Postgres, Oracle, SQL Server).
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Experience with REST/SOAP/JSON integrations and version control (e.g., Git).
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Excellent communication, analytical, and problem-solving skills.
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Bachelor's degree in Computer Science or related field.
Preferred
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Background in financial or similar data-driven industries.
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Familiarity with ML/AI concepts.
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Experience with Agile methods and data visualization tools.
