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For Companies At a Glance
- Tasks: Join our team to develop and maintain cutting-edge data pipelines and infrastructure.
- Company: Citation is a dynamic service provider focused on HR and Health and Safety for SMEs in the UK.
- Benefits: Enjoy 25 days holiday, gym discounts, healthcare, and more perks!
- Why this job: Be part of a supportive culture that values your contributions and encourages growth.
- Qualifications: Experience with data pipelines, AWS, Python, and strong analytical skills are essential.
- Other info: Hybrid working model with just one day in the office every two weeks.
The predicted salary is between 36000 - 60000 £ per year.
Location: Hybrid – 1 day per fortnight in the Wilmslow offices
Working hours: 0900 to 1730
The Role
Following recent investment, The Citation Group are looking to build out their data capabilities to be Best in Class. As such, a fantastic opportunity has arisen for a strong data engineer to work in the data engineering team, to expand and maintain the data infrastructure that provides the foundations from which our BI, Data Science and Operational Data teams deliver insights and revenue to the functions across the wider group.
We’re looking for an individual who has experience working with enterprise grade data pipelines and infrastructure, who can implement processes on our modern tech stack with robust, pragmatic solutions.
Responsibilities
- Develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt
- Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB.
- Implement and manage infrastructure-as-code (IaC) using tools like Terraform or AWS CloudFormation.
- Monitor and optimize the performance, cost, and scalability of data infrastructure.
- Develop data access policies and implement security best practices for data in transit and at rest.
- Support data ingestion from structured and unstructured sources, including APIs, streaming data, and batch loads.
- Work closely with Data Scientists, Analysts, and Software Engineers to provide data access and tooling.
The Person
We are looking for someone who can roll their sleeves up and ‘dig in’ with the rest of the team. In addition, the successful candidate should have:
- Excellent writing and communication skills with an attention to detail
- Experience designing data warehouse technical architectures and infrastructure components
- Experience deploying cloud data infrastructure services
- Programming experience in Python
- Experience writing, troubleshooting, and debugging advanced SQL queries
- Outstanding analytical and problem-solving skills
- Experience working with ETL/ELT, and reporting and analytic tools
Skills and experience we’d love you to have… But if not? We’ll help you get there:
- Understanding of cloud computing security concepts
- Proficiency with IaC tools like Terraform or CloudFormation.
- Experience with workflow orchestration tools (e.g., Airflow, Dagster).
- Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud
- Familiarity with DBT, Delta Lake, Databricks
- Experience working in Agile environments with tools like Jira and Git.
About Us
We are Citation. We are far from your average service provider. Our colleagues bring their brilliant selves to work every day and we create an environment where they can shine. We are a nice bunch. We don’t do office politics or “that’s not my job”. We listen, support and take ownership.
We have been proudly delivering valuable HR and Health and Safety services to SMEs across the UK for over 20 years. Passionate about service, we’re on a mission to revolutionise our colleague’s and client’s experience by employing brilliant people who are experts at what they do and smile whilst they are doing it.
Working for Citation you will have access to 25 days holiday, plus your birthday off work, gym membership discount, healthcare, childcare vouchers, the opportunity to purchase extra leave, pension contributions and more.
It’s a great place to work because of the people we employ. Fun and professional, we want likeminded individuals who love to love their job and want the Company to succeed.
So, if our culture sounds like a good fit for you and you want to be part of our success story, then send us your details.
Data Infrastructure Engineer employer: Career Wallet
Contact Detail:
Career Wallet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Infrastructure Engineer
✨Tip Number 1
Familiarise yourself with the specific AWS services mentioned in the job description, such as S3, Redshift, and RDS. Having hands-on experience or projects that showcase your skills with these tools can set you apart during discussions.
✨Tip Number 2
Highlight any experience you have with infrastructure-as-code tools like Terraform or AWS CloudFormation. Be prepared to discuss how you've implemented these in past projects, as this is a key responsibility for the role.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of challenges you've faced in data engineering. Discuss how you approached these issues and the solutions you implemented, as this aligns with the analytical mindset they are looking for.
✨Tip Number 4
Engage with the company culture by researching Citation's values and mission. During your interactions, express how your personal values align with theirs, as they emphasise a supportive and collaborative work environment.
We think you need these skills to ace Data Infrastructure Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with AWS services, ETL/ELT processes, and programming in Python. Use specific examples to demonstrate your skills and achievements.
Craft a Compelling Cover Letter: Write a cover letter that reflects your enthusiasm for the role and the company. Mention how your background aligns with their needs, especially your experience with data pipelines and infrastructure management.
Showcase Communication Skills: Since excellent writing and communication skills are essential for this role, ensure your application is clear, concise, and free of errors. This will demonstrate your attention to detail and professionalism.
Highlight Team Collaboration: Emphasise your ability to work collaboratively with Data Scientists, Analysts, and Software Engineers. Provide examples of past projects where teamwork was crucial to success, as this aligns with the company's culture.
How to prepare for a job interview at Career Wallet
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AWS services, ETL/ELT processes, and data storage solutions. Highlight specific projects where you've implemented these technologies, as this will demonstrate your hands-on expertise.
✨Communicate Clearly
Since the role requires excellent writing and communication skills, practice explaining complex technical concepts in simple terms. This will help you connect with interviewers who may not have a technical background.
✨Demonstrate Problem-Solving Abilities
Prepare for scenario-based questions that assess your analytical and problem-solving skills. Think of examples where you've successfully tackled challenges in data infrastructure or pipeline optimisation.
✨Cultural Fit Matters
Research Citation's company culture and values. Be ready to discuss how your personal work ethic aligns with their emphasis on teamwork, ownership, and a positive work environment. Showing that you resonate with their culture can set you apart.
