Data Engineer (AWS)

Job Description

Overview

You might know us for the great work we do across our wide variety of projects. We're proud to say it's thanks to our people's diversity of thought, expertise and knowledge. And when you join us, you'll be a part of this genuinely collaborative environment, where everyone's voice is valued and treated equally.

We're passionate about what we do, but we don't take ourselves too seriously. Simply put, this is a great place to be. So, when it comes to your life outside of work, ask us about our flexible and remote working policies designed to help you get the most out of life.

You'll keep people connected, critical businesses running and advanced communication networks safe.

You will work with the finest minds on some of the most challenging engineering projects of our time. Our award-winning team push the boundaries to deliver amazing solutions which meet the constantly evolving needs of our clients across a wide range of markets on a global scale.

If you're an experienced and talented data engineer who pushes the boundaries and enjoys an exciting and fast paced agile environment, we can offer you the chance to continue to grow your experience and a competitive package to match. If you want to enjoy a rewarding future as part of our team, where we support creativity through cutting edge technology innovation projects - join us.

You will get involved across the entire data lifecycle, developing, delivering, and supporting cutting edge solutions for our clients across varied domains and verticals. The role will require some on-site working at client sites.

The right candidates will need to demonstrate a desire to be challenged and to contribute towards the success and growth of the business. In return we can offer a challenging and rewarding role, career development, training, an empowered and supportive working environment, and competitive reward package.

Your role

• Build and deliver AWS Data Engineering solutions.
• Design and maintain scalable data pipelines using AWS services such as Glue, Lambda, Kinesis, and EMR.
• Assemble large, complex data sets that support business requirements across functional and non-functional domains.
• Develop and optimise data modelling, data mining and data warehousing solutions using Redshift, Lake Formation and related services.
• Build infrastructure for efficient extraction, transformation, and loading (ETL/ELT) from diverse data sources.
• Recommend and implement improvements to enhance data reliability, efficiency, and quality.
• Provide data engineering solutions to cross-functional teams across the business.
• Create tools and frameworks that enable analytics and data science teams to scale their workloads effectively.

About you

• Degree or equivalent in a relevant subject (Computer Science, Information Systems, or related technical discipline).
• Deep knowledge of SQL and AWS-based data architectures and pipelines.
• Experience working with big-data tools such as Hadoop and Spark, including use with AWS EMR.
• Hands-on experience with AWS services such as Glue, Redshift, S3, Lambda, Step Functions, Kinesis, and DynamoDB.
• Experience with workflow management and orchestration tools such as Apache Airflow or AWS Step Functions.
• Experience working with large data sets and stream-processing technologies (e.g., Kinesis, Kafka on AWS).
• Experience with Agile methodology.
• Programming background in Python, Scala, Java, or similar languages.
• Strong written and verbal communication skills and desire to work in cross-functional teams.
• Consultancy experience is beneficial but not essential.

Rewards & benefits

Explore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life.

Be rewarded. Find out more.

About AtkinsRéalis

We're AtkinsRéalis , a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.

Find out more.

Additional information

Security clearance

This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance.

We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability.

#LI-ADST | #LI-UK

Worker Type

Employee

Job Type

Regular

At AtkinsRéalis, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.