Senior Data Engineer

Senior Data Engineer

Full-Time 42000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop user-facing applications and maintain bespoke data pipelines.
  • Company: Rapidly growing tech consultancy specialising in software and data solutions.
  • Benefits: Up to £70,000 salary, £5,000 relocation package, and annual training budget.
  • Why this job: Join a dynamic team and make an impact on innovative data-driven projects.
  • Qualifications: Strong Python skills and experience with relational databases required.
  • Other info: Collaborative environment with excellent career growth opportunities.

The predicted salary is between 42000 - 84000 £ per year.

Up to £70,000 DoE + £5,000 relocation package

Active UKSV DV (MoD DV) required

£5,000 annual training and development budget + wellness benefits

Herefordshire location – 4/5 days on site per week

ABOUT THE CLIENT

Our client is a rapidly growing tech consultancy specialising in software, data, cyber, and IT, helping businesses and government clients achieve their goals safely and effectively through technical expertise and innovative problem-solving. This role is key to supporting my clients’ customers in building and maintaining data pipelines and applications with proprietary software, enabling rapid prototyping and delivery of data-driven projects to meet their needs.

KEY RESPONSIBILITIES

  • Develop user-facing applications
  • Build and maintain bespoke data pipelines
  • Design and deliver end-to-end data projects
  • Collaborate with data scientists, analysts, product owners, and engineers
  • Ensure smooth data integration and software performance

KEY EXPERIENCE REQUIRED

  • Strong Python skills (or similar language)
  • Proficient with relational databases
  • Knowledge of APIs for data integration
  • Experience in stakeholder engagement and requirements gathering
  • Understanding of pipeline scheduling, monitoring, and failure prevention
  • Exposure to front-end design or implementation

TO BE CONSIDERED

Please either apply through this advert or email me directly at henry.clay-davies@searchability.com. For further information, call me on 0161 416 6800 / 07719 065 951. By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.

Senior Data Engineer employer: Searchability®

Join a dynamic tech consultancy in Herefordshire, where innovation meets opportunity. With a strong focus on employee development, including a generous £5,000 annual training budget and wellness benefits, we foster a collaborative work culture that empowers our team to excel. As a Senior Data Engineer, you'll play a pivotal role in delivering cutting-edge data solutions while enjoying the unique advantages of working in a supportive environment dedicated to your professional growth.
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Contact Detail:

Searchability® Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer

Tip Number 1

Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.

Tip Number 2

Prepare for interviews by practising common questions and scenarios related to data engineering. We recommend doing mock interviews with friends or using online resources to boost your confidence and refine your answers.

Tip Number 3

Showcase your skills through personal projects or contributions to open-source. We love seeing real-world applications of your abilities, so make sure to highlight these in conversations and during interviews.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talented individuals like you to join our growing team.

We think you need these skills to ace Senior Data Engineer

Python
Relational Databases
APIs for Data Integration
Stakeholder Engagement
Requirements Gathering
Pipeline Scheduling
Monitoring
Failure Prevention
Front-End Design
Application Development
Data Pipeline Development
Collaboration with Data Scientists
End-to-End Data Project Delivery

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your Python skills, experience with relational databases, and any relevant projects you've worked on. We want to see how your background aligns with what our client is looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our client's goals. Keep it concise but impactful – we love a good story!

Showcase Your Projects: If you've worked on any data pipelines or applications, make sure to mention them in your application. We want to see your hands-on experience and how you've tackled challenges in the past. Don’t be shy about sharing your successes!

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy – just a few clicks and you’re done!

How to prepare for a job interview at Searchability®

Know Your Tech Inside Out

Make sure you brush up on your Python skills and any other relevant programming languages. Be ready to discuss your experience with relational databases and APIs, as these are crucial for the role. Prepare examples of how you've used these technologies in past projects.

Showcase Your Problem-Solving Skills

Since the company focuses on innovative problem-solving, think of specific challenges you've faced in previous roles and how you overcame them. Be prepared to explain your thought process and the impact of your solutions on the project or team.

Engage with Stakeholders

Highlight your experience in stakeholder engagement and requirements gathering. Think of instances where you successfully collaborated with data scientists, analysts, or product owners. This will demonstrate your ability to work effectively within a team and understand client needs.

Prepare Questions

Interviews are a two-way street! Prepare thoughtful questions about the company's projects, culture, and expectations for the role. This shows your genuine interest and helps you assess if the company is the right fit for you.

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