Data Engineer

Russell Tobin; Greater London; Remote; GBP 60,000 - 80,000; Full time

Job summary

An established industry player is seeking a passionate Data Engineer to join their innovative team. This role focuses on leveraging cloud-based data engineering with AWS services, creating robust data solutions for Generative AI applications. You'll collaborate with a diverse group of professionals, enhancing data processing capabilities and developing data ingestion pipelines. If you're driven, detail-oriented, and eager to tackle complex challenges in a fast-paced environment, this opportunity is perfect for you. Join a forward-thinking company that values creativity and collaboration in the tech ecosystem.

Qualifications

• 3+ years as a data engineer focused on cloud-based solutions.
• Expertise in Python and AWS for data engineering tasks.

Responsibilities

• Develop data ingestion pipelines for GenAI applications.
• Create and modify CI/CD pipelines using GitHub Actions.

Skills

Python development

AWS services

Docker

Data pipeline performance

Relational databases

Problem-solving skills

Agile principles

Generative AI

Education

Bachelor's degree in Computer Science

Advanced degree in related field

Tools

GitHub Actions

Docker containers

Job description

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6 months contract/50 pounds an hour. Inside it 35/fully remote

Who you'll work with

• You’ll be a member of a global team working on GenAI initiative. CompaniesTech Ecosystem function is responsible for developing and delivering all technology solutions for the firm’s internal use.
• We are taking a cloud-first approach to transform our data platforms and analytical applications across the firm.
• We are seeking an experienced data engineer to shape and accelerate the delivery of target state data platform enabling GenAI use-cases. We want a passionate specialist who loves to build data solutions as part of multi-disciplinary team, working closely with digital product professionals, data scientists, cloud engineers and others.

Your impact within our firm

• We are looking for a Data Engineer with expertise in Python development, who is passionate about cloud- based dataengineering using AWS services and loves to build data solutions as part of multi-disciplinary team.
• You would be working closely with digital product professionals, data scientists, cloud engineers and others.
• You’ll be a member of a global team working on GenAI initiative, based in one of our European offices. Our McKinsey’s Tech Ecosystem function is responsible for developing and delivering all technology solutions for the firm’s internal use.
• You will work in a team of data engineers to develop data ingestion pipelines, create and mature data processing capabilities that ingest data into a data system used by GenAI applications.
• Your work would include but won't be limited to creation of the python code, tests, creation and modification of GitHub Action CICD pipelines, working with AWS-based infrastructure and docker containers.

What you'll do

You will work in a team of data engineers to develop data ingestion pipelines, create and mature data processing capabilities that ingest data into a data system used by GenAI applications. Work includes but not limited to creation of the python code, tests, creation and modification of GitHub Action CICD pipelines, working with AWS-based infrastructure and docker containers

Skills:

• 3+ years of professional experience as a data engineer, with a strong focus on cloud- based data engineering using AWS services
• Expertise with Python development
• Practicing high coding standards with clean code, modularity, error handling, testing automation and more
• Strong experience with relational databases
• Very driven, superstrong on execution and output orientation, likes to get job done attitude and ability to figure things out independently. Able to work in complex and very fast paced environment
• Hands-on experience with Docker
• Solid and demonstrable background in data pipeline performance and diagnostics
• Interest in Generative AI and other ML topics
• Kedro framework experience as a plus
• Holds their ground, opinionated, not afraid to speak up at any level
• Familiarity with agile principles and product development
• Excellent problem-solving skills and the ability to analyze and resolve complex data engineering challenges
• Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment

Education:

Bachelor's degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required. Advanced degree is a strong plus

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Industries

  IT Services and IT Consulting

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