Data Engineer - Hybrid

Company description
Our client teams operate globally from offices in the UK, Ireland, US, Nordics, and Netherlands. With diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, and faster. Their clients adapt and transform, and together they achieve enduring results.
Working with clients in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. The Data Engineer will have experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. You will join the business at a period of huge growth.
JOB DESCRIPTION
Tech stack
While the client is keen to use the right tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications:

• AWS is a significant growth area for the business with a diverse and growing capability, and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement.
  
• AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB.
  What you can expect
  
• Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using your technical skills to problem solve with clients, as well as working on internal projects
  
• Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams
  
• Hybrid working with the team on client site or in the office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site.
  
• You’ll work alongside colleagues from across the business – delivering transformative digital solutions to today’s most complex business challenges.
  
• You’ll be designing and building for the AWS cloud
  Essential requirements
  
• You thrive in problem-solving and analytical thinking
  
• You enjoy collaborating with multiple stakeholders in a fast-paced environment
  
• Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL.
  
• Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc.
  
• Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native or custom programming.
  Our client is dedicated to supporting the physical, emotional, social and financial well-being of their people. Check out some of the extensive benefits:
  
• Health and lifestyle perks accompanying private healthcare for you and your family
  
• 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days
  
• Generous company pension scheme
  
• Opportunity to get involved with community and charity-based initiatives
  
• Annual performance-based bonus
  
• Company share ownership
  
• Tax efficient benefits (cycle to work, give as you earn)
  PLEASE NOTE – ONLY CANDIDATES THAT HAVE DV CLEARANCE WILL BE CONSIDERED