ENVIRONMENT:

DESIGN, optimize and delivery tech solutions as the next Data Engineer sought by a dynamic independent Asset Management firm seeking your passion for building tools which ensures great client engagement. Your role will entail driving the Data Engineering solution & exploring ways to improve technology processes within Distribution Technology while developing and documenting the provisioning and management of data pipelines. The ideal candidate will require a suitable tertiary qualification, experience with Python for Data Engineering, proficiency with Azure Data Factory and/or Airflow, SQL, building data pipelines/ETL/ELT scripts and familiarity with Agile delivery methodologies & Financial Services experience (preferably Asset Management). You'll need to be both creative and analytical, with the ability to understand and articulate business challenges and/or ideas, explore options, design the solution, and see through to implementation.

DUTIES:

• Work closely with business teams, Technical Leads, and Data Analysts to develop working solutions which deliver the desired business outcome.
• Be responsible for driving the Data Engineering solution within Distribution Technology.
• Develop and document the provisioning and management of data pipelines.
• Explore ways to improve the technology processes to progress the Distribution Technology function across a broad range of areas such as cost savings, simplification, security, efficiency, and reliability.
• Play a key role in familiarising and upskilling the extended team in Data Engineering tools and best practices.
• Maintain an understanding of industry trends and how new technologies can be leveraged to meet business objectives.
• Discover and playback innovative functionality and potential new ways to realise additional business benefits.
• Engage actively in Agile planning, including story refinement, demos, and retrospectives.

REQUIREMENTS:

• Relevant qualification.
• Knowledge and experience of Python for Data Engineering.
• Experience with Data Management services and ETL tooling, such as Azure Data Factory and/or Airflow.
• Experience of how to expose and consume data from multiple systems using APIs.
• Proficiency in building data pipelines/ETL/ELT scripts.
• Knowledge of SQL or a similar database query language.
• Understanding of industry-recognised Data Modelling patterns and standards.
• Understanding of a range of coding tools and languages, security, accessibility, and version control.
• High level of organisational skills to sustain momentum in multiple work streams.
• Ability to plan, design, manage and execute, and report tests using appropriate tools and techniques.
• Knowledge and experience of contributing to the development of technology solutions, both in house developed bespoke applications and commercially available off the shelf solutions.
• Familiarity with Agile delivery methodologies.
• Financial Services experience (preferably Asset Management).

System Skills -

• Python
• Airflow
• Azure Data
• SQL

ATTRIBUTES:

• Self-motivated and enthusiastic.
• Finds satisfaction in solving complex technical and theoretical challenges.
• Flexible, highly curious, and willing to learn.
• A critical thinker who is able to look at things from different angles.
• Great at unpicking a problem, from start to end, own, and deliver the solution.
• Able to work under pressure, on several priorities at once, and with tight deadlines.
• Great at working with other people, sharing, and communicating decisions and ideas.

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