AWS Data Engineer - #1099975

About Admiral Pioneer

Admiral Pioneer is a new entity within Admiral Group with the objective of seeding, launching and scaling new businesses in areas of increasing societal importance. We are focusing on three significant domains:

•  Mobility

•  Future of Work

•  Live to 101

These domains are long term growth areas for Admiral. We anchor around meeting customer needs and are focused on experimenting and proving new products, business models and partnerships through a discovery driven approach.

We aren’t an incubator, we are building a dynamic and energising environment where we will provide all the excitement and freedom of a start-up, with the support and stability of an established organisation. We want to recruit passionate business builders who look at the world and see huge opportunities to change it.

The Admiral Business team

Surviving in business is tough. Succeeding is even harder. We want to make it possible for more small businesses to survive and thrive - by building personalised products and services that allow our customers to run their business as well as they perform their craft.

We are a high-impact collaborative team of passionate individuals who are constantly looking at ways to enhance customer experience through a human centred design approach, rigour experimentation and a test and learn mindset. We are looking for bright and talented individuals who have a can-do attitude and will thrive in this enabling environment. We treat our colleagues openly, equally, and fairly and give them a ton of opportunity and freedom to do their best work and make a positive impact.

The Role

We are in search of an AWS Cloud Data Engineer to bolster our team. The ideal candidate will have deep knowledge of AWS cloud services and data engineering practices, demonstrating an ability to construct, manage, and scale data pipelines within AWS. You will be instrumental in fostering data-driven decision-making, ensuring seamless, secure, and timely access to our data assets.

We are looking for an enthusiastic and curious individual, who can think creatively to solve problems and meet user requirements. You must have a keen interest in leveraging data to derive actionable insights and drive informed decision-making through effective data management, modeling, and analysis.

Key Responsibilities

• Design, build, and maintain robust and scalable data pipelines on AWS, integrating various data sources to support analytics and machine learning.


• Collaborate with stakeholders including data scientists, analysts, and business teams to capture data requirements and deliver comprehensive data solutions.


• Ensure high data quality and consistency through best practices in data management, implementing validation, testing, and robust error-handling protocols.


• Optimize AWS data storage and processing solutions for performance, reliability, and cost.


• Uphold stringent data security standards, utilizing AWS security tools and best practices to safeguard information.


• Monitor, diagnose, and resolve issues in data pipelines and architectures, ensuring optimal performance and availability.


• Keep abreast of the latest developments in AWS services, big data technologies, and data engineering practices to enhance our data infrastructure continuously.

Required Skills and Qualifications

• Demonstrable data engineering experience, with a significant focus on AWS cloud services.


• Proficiency in AWS services related to data processing and analytics (e.g., Amazon S3, Redshift, DynamoDB, Athena, Glue, Kinesis, EMR).


• Expertise in programming languages such as Python or Java, and SQL.


• Solid understanding of big data technologies (e.g., Hadoop, Spark), real-time data pipelines and API integration, principles of data modeling, ETL processes (preferably Matillion), and data warehousing (preferably Snowflake).


• Demonstrable ability to troubleshoot complex data issues and implement effective solutions.


• Excellent communication skills for effective collaboration across teams.

Preferred Qualifications

• AWS Certified ( such as: AWS Certified Data Analytics, AWS Certified Big Data, AWS Certified Solutions Architect, AWS Certified Database, AWS Certified Machine Learning etc)


• Experience with machine learning tools and frameworks available on AWS.


• Knowledge of data visualization tools and techniques.

Salary, Benefits and Work-Life Balance

At Admiral, we are proud to be a diverse business where we put our people and customers first. We have great benefits to ensure employees have a great work-life balance; it's one of the reasons we’re consistently voted one of the Sunday Times Best Big Companies to Work For in the UK.

All colleagues will receive 33 days holiday (including banks holidays) when they join us, and this will increase with length of service, up to a maximum of 38 days (including banks holidays). You also have the option to buy or sell up to five days of annual leave in addition to your allocation.

You can also view some of our other key benefits here

Please note: this is a hybrid role based in our Cardiff office twice a week.

Our Commitment to You

At Admiral, we are committed to being a diverse and inclusive workplace. Admiral is proud to be an equal opportunities employer and does not discriminate on the basis of race, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), national origin, gender, gender identity, sexual orientation, disability, age, or any other legally protected status.

All qualified applicants will receive equal consideration.

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