Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

AWS Data Engineer

Ampstek
Milton Keynes
2 days ago
Create job alert
Senior IT Recruiter | Talent Acquisition Specialist | UK, Europe, Turkey & UAE | Driving Tech Hiring Excellence

Ampstek Milton Keynes, England, United Kingdom

Direct message the job poster from Ampstek

Responsibilities
  • Perform end-to-end testing of data ingestion, parsing, aggregation, and schema validation processes in AWS.
  • Conduct stress testing to evaluate the performance of the entire data pipeline built on AWS.
  • Develop and execute test plans, test cases, and test scripts to ensure data quality and integrity.
  • Collaborate with data engineers and developers to identify and resolve data quality issues.
  • Monitor data quality metrics and implement improvements to enhance data reliability.
  • Validate data transformations and ensure consistency across various data sources.
  • Document test results and provide detailed reports on data quality findings.
Required Skills and Experience
  • Proven experience with AWS services such as EMR, Lambda, Redshift, Firehose, S3, Iceberg, Athena, and DynamoDB.
  • Strong understanding of data ingestion, parsing, aggregation, and schema validation processes.
  • Proficiency in SQL for data querying and validation.
  • Experience with Python for scripting and automation.
  • Familiarity with data quality tools and frameworks.
  • Excellent analytical and problem-solving skills.
  • Strong attention to detail and commitment to data accuracy.
Preferred Qualifications
  • Experience with data quality assurance in a cloud environment.
  • Knowledge of data governance and best practices.
  • Ability to work independently and as part of a team.
  • Strong communication skills to effectively collaborate with cross-functional teams.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • IT Services and IT Consulting

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Related Jobs

View all jobs

AWS Data Engineer

AWS Data Engineer - Permanent

AWS Data Engineer

AWS Data Engineer

AWS Data Engineer

AWS Data Engineer

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.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.