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Contract Data Engineer (Python/JS)

YLD

London

Remote

GBP 125,000 - 150,000

28 days ago

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Job summary

Join a forward-thinking company as a Data Engineer, where you'll build essential infrastructure software for data platforms. This role involves crafting pipelines and APIs, ensuring data accessibility, and enhancing performance for various stakeholders. You'll also mentor fellow engineers, fostering growth and expertise within the team. This innovative firm values diversity and promotes a flexible working environment, making it an exciting opportunity to contribute to transformative projects in the tech industry.

Qualifications

  • Proven experience in writing maintainable Python/PySpark code.
  • Experience with data lakes and cloud environments.

Responsibilities

  • Build core infrastructure software for data platforms.
  • Coach and mentor other engineers to enhance their skills.

Skills

Python

PySpark

Node.js

Cloud environments

Docker

Kubernetes

Data lakes

Spark

Databricks

Git

GitHub

Job description

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About YLD:
Everything we do is to empower our clients to move forward. Great technology companies are built on incredible design, engineering and strategy, working in unison, operating at the very heart of an organisation and its audience. Enabling organisations to become great technology companies is our mission, and our promise to our clients. We aim to leave them with the mindset, tools, skills and expertise they need to go beyond their own expectations, revolutionise their sectors, and for us to be proud of the change we create with them and their customers.

Location: Remote EU
Department: Engineering
Employment: Contract

About the role:
As a Data Engineer in this role, you will be responsible for building core infrastructure software (pipelines, APIs, data modelling, tracking events) as part of our client's data platform team. Your work will include instrumenting systems for performance, and enhancement throughout. You will work on ensuring these data offerings are to various internal & external stakeholders using secure authentication patterns.

Your role will include choosing and implementing the appropriate technologies for scaling data access patterns, batch processing, handling data from third-party suppliers, supporting documentation, and supplying data to researchers—all while considering the unique domain knowledge of the client's business. As a senior collaborator on the team, you will coach and mentor other engineers to support the growth of their technical expertise.

Technical competencies:

  • Proven experience writing highly maintainable and performant Python/PySpark code
  • Experience with Node.js and FinTech integrations (QuickBooks, Plaid)
  • Good understanding of Cloud environments
  • Good understanding of containerisation platforms such as Docker and container orchestration systems such as Kubernetes
  • Experience working with data lakes; experience with Spark or Databricks
  • Understanding of common data transformation and storage formats, e.g. Apache Parquet
  • Familiar with version control systems such as Git and GitHub
  • Experience with VCL and BCL would be a plus, but not required

Non-Technical competencies:

  • Problem-solving skills that balance innovation with pragmatic technology choices to solve business needs
  • Comfortable working in a dynamic production environment and taking care of client expectations effectively
  • Distinct customer focus and quality mindset
  • Experience working closely with engineering leadership and architects to deliver high-quality solutions
  • Experience maintaining a high-degree of ownership and transparency in deliverables
  • An exemplar of YLD's brand and safeguarder of our reputation
  • Exceptional communication skills, able to communicate complex ideas in a simple fashion

We're an equal opportunity employer and value diversity of all kinds. We don't discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability status. We also believe in work-life balance and offer flexible working around our core hours.

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology

Industries

Technology, Information and Internet

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