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Data Engineer

Damia Group

London

On-site

GBP 45,000 - 80,000

Full time

9 days ago

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Job summary

An innovative consultancy is seeking a skilled Data Engineer to join their dynamic team in London. This exciting role involves leveraging your expertise in Python programming and database management to extract insights from data and develop machine learning models. You'll manage big data infrastructure and support AI-driven product development, ensuring impactful solutions that meet user needs. This position offers the opportunity to work with cutting-edge technologies and collaborate with talented professionals in a fast-paced environment. If you're passionate about data and eager to make a difference, this could be the perfect opportunity for you.

Qualifications

  • Proficient in Python and database management with experience in machine learning.
  • Strong understanding of big data technologies and analytics libraries.

Responsibilities

  • Collect and cleanse data from diverse sources for high-quality datasets.
  • Develop and implement machine learning models to address business challenges.

Skills

Python programming
Database management
Machine Learning
Statistical Analysis
Big Data Management
Version Control (Git)
JavaScript
Cypress testing
Natural Language Processing

Tools

AWS (Lambda, S3, DynamoDB)
CloudFormation
Openshift containers

Job description

**Data Engineer – Consultancy (multiple locations available) – competitive salary**

Please note – due to the nature of work, all candidates must have HLC eDV clearance that is active and transferrable.

We are looking for a Data Engineer who is proficient in Python programming, database management, and data methodologies. You’ll focus on extracting insights from data, developing and implementing machine learning models, managing big data infrastructure, and supporting AI-driven product development.

Key Responsibilities:

  • Data Collection and Cleansing: Collect and cleanse data from diverse sources to ensure high-quality datasets for decision-making.
  • Data Exploration and Visualization: Explore and visualize data using advanced techniques to uncover insights and trends.
  • Statistical Analysis: Apply statistical and mathematical techniques to provide robust analytical foundations for predictive modelling.
  • Machine Learning and Deep Learning: Develop and implement machine learning and deep learning models to address business challenges.
  • ML-Ops / AI-Ops: Demonstrate expertise in ML-Ops / AI-Ops practices to ensure efficient model deployment and management.
  • Big Data Management: Manage big data infrastructure and execute data engineering tasks for efficient data processing.
  • Version Control and Collaboration: Utilize version control systems like Git for maintaining codebase integrity and fostering collaboration
  • AI-Driven Product Development: Design, create, and support AI-driven products to deliver impactful solutions aligned with user needs and business objectives.
  • Develops applications on Big Data technologies including API development

Key skills and experience:

  • Expected to have traditional Application Development background along with knowledge of Analytics libraries, open-source Natural Language Processing, statistical and big data computing libraries
  • Strong technical abilities to understand, design, write and debug complex code
  • Python programming
  • AWS (Lambda S3 DynamoDB etc.)
  • CloudFormation
  • JavaScript
  • Cypress testing
  • Openshift containers
  • Due to the nature of work, we can only consider candidates with HLC eDV clearance that is active and transferrable.
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