Senior Data Engineer

Chambers & Partners
London
3 weeks ago
Applications closed

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Overview: 3 contract data engineers to supplement existing team during implementation phase of new data platform.

Main Duties and Responsibilities:

  • Write clean and testable code using PySpark and SparkSQL scripting languages, to enable our customer data products and business applications.
  • Build and manage data pipelines and notebooks, deploying code in a structured, trackable and safe manner.
  • Effectively create, optimise and maintain automated systems and processes across a given project(s) or technical domain.
  • Data Analyse, profile and plan work, aligned with project priorities.
  • Perform reviews of code, refactoring where necessary.
  • Deploy code in a structured, trackable and safe manner.
  • Document your data developments and operational procedures.
  • Ensure adherence to data/software delivery standards and effective delivery.
  • Help monitor, troubleshoot and resolve production data issues when they occur.
  • Contribute to the continuous improvement of the team.
  • Contribute to the team’s ability to make and deliver on their commitments.
  • Innovate and experiment with technology to deliver real business benefits.
  • Regularly launch products and services based on your work and be an integral part of making these a success.
  • Guide, influence and challenge the technology team and stakeholders to understand the benefits, pros and cons of various technical options.
  • Guide and mentor less experienced developers assigned on projects.
  • Promote an innovative thinking process and encourage it in others.
  • Working within the agile framework at Chambers.

Skills and Experience:

  • Excellent understanding of Data Lakehouse architecture built on ADLS.
  • Excellent understanding of data pipeline architectures using ADF and Databricks.
  • Excellent coding skills in PySpark and SQL.
  • Excellent technical governance experience such as version control and CI/CD.
  • Strong understanding of designing, constructing, administering, and maintaining data warehouses and data lakes.
  • Excellent oral and written communications skills.
  • Highly driven, positive attitude, team player, self-motivated and very flexible.
  • Strong analytical skills, attention to detail and excellent problem solving/troubleshooting.
  • Knowledge of agile methodology.

Person Specification:

  • A passionate data engineer with a history of driving his or her own technical and professional development.
  • Worked in the media, publishing, research, or a similar consumer focused industry. (Highly Desirable)
  • Able to clearly communicate with business and technology stakeholders.
  • Attention to Detail, focused on the finer details that make the difference.
  • Delivery Focus, pragmatic and driven to get solutions live.
  • Able to Lead, providing thought leadership in the data domain.
  • A Proactive attitude. A self-starter who seeks out opportunities for yourself and your team.
  • Awareness of industry and consumer trends.
  • Awareness of and the ability to manage business and technology expectations.
  • Able to build strong personal relationships and trust.
  • Able to sell ideas or visions. Influence and advise stakeholders at all levels.


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