National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

002AVM - Data Engineer (Remote)

Augusta Hitech
united kingdom
3 weeks ago
Applications closed
  • Duration of Contract – 4 months with possible extension
  • Start Date: ASAP
  • Experience Level: 10+ Years

Job Description:

We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate should have a robust background in the various phases of ETL data applications, including data ingestion, preprocessing, and transformation. This role is perfect for someone who thrives in a fast-paced environment and is passionate about leveraging data to drive business success.

Key Responsibilities:

  • Design and implement efficient data ingestion pipelines to collect and process large volumes of data from various sources.
  • Hands-on experience with AWS Database Migration Service for seamless data migration between databases.
  • Develop and maintain scalable data processing systems, ensuring high performance and reliability.
  • Utilize advanced data transformation techniques to prepare and enrich data for analytical purposes.
  • Collaborate with cross-functional teams to understand data needs and deliver solutions that meet business requirements.
  • Manage and optimize cloud-based infrastructure, particularly within the AWS ecosystem, including services such as S3, Step-Function, EC2, and IAM.
  • Experience with cloud platforms and understanding of cloud architecture.
  • Knowledge of SQL and NoSQL databases, data modelling, and data warehousing principles.
  • Familiarity with programming languages such as Python or Java.
  • Implement security and compliance measures to safeguard data integrity and privacy.
  • Monitor and tune the performance of data processing systems to ensure optimal efficiency.
  • Stay updated with emerging trends and technologies in data engineering and propose adaptations to existing systems as needed.
  • Proficient in AWS Glue for ETL (Extract, Transform, Load) processes and data cataloging.
  • Hands-on experience with AWS Lambda for serverless computing in data workflows.
  • Knowledge of AWS Glue Crawler Kinesis RDS for batch / real-time data streaming
  • Familiarity with AWS Redshift for large-scale data warehousing and analytics.
  • Skillful in implementing data lakes using AWS Lake Formation for efficient storage and retrieval of diverse datasets.
  • Experience with AWS Data Pipeline for orchestrating and automating data workflows.
  • In-depth understanding of AWS CloudFormation for infrastructure as code (IaC) deployment.
  • Proficient in AWS CloudWatch for monitoring and logging data processing workflows.
  • Familiarity with AWS Glue DataBrew for visual data preparation and cleaning.
  • Expertise in optimizing data storage costs through AWS Glacier and other cost-effective storage solutions.
  • Hands-on experience with AWS DMS (Database Migration Service) for seamless data migration between different databases.
  • Knowledge of AWS Athena for interactive query processing on data stored in Amazon S3.
  • Experience with AWS AppSync for building scalable and secure GraphQL APIs.

Qualifications:

  • A minimum of 10 years of experience in data engineering or a related field.
  • Strong background in big data application phases, including data ingestion, preprocessing, and transformation.

Education:

  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field. A Master’s degree is preferred.


#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Machine‑Learning Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

With deep‑learning projects now integral across healthcare, finance and tech, UK demand for machine‑learning talent is booming. Lightcast shows +50 % YoY growth in UK adverts referencing “machine learning,” “deep learning,” “computer vision” or “reinforcement learning” in Q1 2025. Monthly vacancies sit around 1,800–2,100, but certified ML specialists number fewer than 15,000. Specialist recruiters help candidates access hidden roles, competitive packages, and structured interview prep. How we screened: Only UK‑registered agencies with clear ML/AI or Data practices Agencies that posted ≥ 5 UK ML roles between March and June 2025

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.