Our client is a global firm that thrives on innovation and creating positive change. They work with some of the biggest names across a range of thriving industries and offer fantastic growth opportunities.

They are heavily investing in their data team here in Belfast - hiring from Junior right up to Lead positions, working on a hybrid basis from some of city's newest and most modern offices.

As part of the clients Digital team, you’ll work alongside colleagues from across the company delivering transformative digital solutions to today’s most complex business challenges.

What's in it for you?

• Great salaries and annual bonus
• Flexible hybrid working options
• Private medical insurance, critical illness and life/income protection insurance
• Generous pension scheme
• Cutting-edge projects using AWS and other modern technologies

What are we looking for?

• 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.
• Ability to closely with other engineering teams to integrate data engineering component into production systems.
• Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks.
• Ability to travel to client site, where required, will be a consideration.
• 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.
• Knowledge of data mining, machine learning, natural language processing is an advantage.
• You enjoy working within cross-functional Agile teams and you are familiar with Scrum ceremonies.
• You’ll be comfortable designing and building for the AWS cloud and will have designed and worked on architectures that include Platform-as-a-Service components and perhaps even server-less and container technologies.
• AWS is a significant growth area for the client with a diverse and growing capability and they 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. There are a variety of different tools, cloud technologies and approaches and while they have a preference for AWS tooling experience, open-source equivalence will be suitable.
• As a Data Engineer, you’ll have experience working in teams to design, build, and maintain large scale data solutions and applications using AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB.
• Your team members will look to you as a trusted expert and will expect you to define the end-to-end software development lifecycle in line with modern AWS best practices.
• Your AWS experience spans data engineering, data science and product development projects, plus you will have an understanding of stream and batch processing.

Sound interesting?

Apply now!