Data Engineer - Snowflake, DBT, Azure in City of Westminster

Data Engineer - Snowflake, DBT, Azure in City of Westminster

City of Westminster Full-Time 110000 - 110000 £ / year (est.) On-site
PSD Technology Contracts Ltd.

At a Glance

  • Tasks: Join our Data Engineering team to design and evolve a cutting-edge data platform.
  • Company: Leading Investment Management company based in London with a focus on innovation.
  • Benefits: Competitive salary of £100K-£110K, flexible working options, and career development opportunities.
  • Other info: Dynamic role with opportunities to work on exciting projects in a collaborative environment.
  • Why this job: Make a real impact by shaping the future of data architecture in finance.
  • Qualifications: Strong Snowflake skills, experience with Azure, and coding proficiency in Python, Java, or SQL.

The predicted salary is between 110000 - 110000 £ per year.

Our client is an Investment Management company based in London.

This is an opportunity to be part of the design and evolution of their data platform as part of the Data Engineering team, working alongside selected vendor/service provider partners.

The role is an important contributor to architecture decisions, working practices, technical design and implementation of new features.

The successful candidate will actively participate in the ongoing Data Platform project, evolving and updating a fit-for-purpose architecture in accordance with business needs.

This will include adoption and migration to a new Investment Platform data model and extension to the organisations parent company, enabling them to migrate their data.

  • Strong Snowflake as a key skill with experience of Cloud-based (preferably Azure) data platform.
  • Engineering Scripting using DBT.
  • Experience within the Investment Management/Asset Management or Investment Banking sector is highly desirable.
  • Candidates with broader financial services experience will also be considered.
  • Database technologies such as Microsoft SQL Server and Oracle would be beneficial.
  • Experience of implementing cloud-based distributed and scalable solutions, leveraging modern compute, storage, databases and reporting technologies.
  • Understanding of CI/CD pipelines and Dev Ops practices for data engineering.
  • Coding skills (Python, Java, SQL), and experience working with large data-sets, both on-prem and cloud-based.
  • Strong technical skill set, including expertise in data modelling, experimental design, and execution.
  • Understanding of data governance and data security practices.
  • Experience in data integration, ETL/ELT pipeline, and automation/orchestration.
  • Knowledge of cloud-based databases and associated development tools, including virtualisation and container technologies, and awareness of cost optimisation associated with their use.
  • Experience in data analysis and working knowledge of common project management practices (Agile, Waterfall).
  • Experience with pipeline technologies such as Five Tran and Open Flow.
  • Experience of financial applications such as Blackrock Aladdin and knowledge of investment management practices and asset class financial data preferred.
  • London - £100K-£110K per annum Contract/Full Time
  • #J-18808-Ljbffr

Data Engineer - Snowflake, DBT, Azure in City of Westminster employer: PSD Technology Contracts Ltd.

As an employer, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Located in Reading, our hybrid work model allows for flexibility while providing ample opportunities for professional growth and development within the network engineering field. Join us to lead a talented team, drive impactful projects, and be part of a forward-thinking organisation committed to utilising cutting-edge technology.

PSD Technology Contracts Ltd.

Contact Details:

PSD Technology Contracts Ltd. Recruitment Team

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We think you need these skills to ace Data Engineer - Snowflake, DBT, Azure in City of Westminster

Python
Data Engineering
Communication Skills
SQL
Data Pipeline Development
Data Governance
Data Quality Assurance

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