Contract Data Engineer - 9 Month Contract

Contract Data Engineer - 9 Month Contract

Temporary 45000 - 55000 € / year (est.) Home office (partial)
Connells

At a Glance

  • Tasks: Join our team to innovate data architecture and enhance reporting capabilities.
  • Company: Dynamic Group Technology team at Connells Group.
  • Benefits: Hybrid working, competitive pay, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on continuous improvement.
  • Why this job: Make a real impact on strategic decision-making with your data expertise.
  • Qualifications: Experience in data engineering and strong problem-solving skills.

The predicted salary is between 45000 - 55000 € per year.

We are seeking an experienced Data Engineer to join our Group Technology team on a 9-month contract. You will play a key role in delivering Connells Group Reporting Data, covering medallion architecture, data modelling, design, and pipelines. You will work closely with technical specialists to innovate, share ideas and continually enhance team capability. Your work will support strategic decision-making across the Group by delivering accurate, timely reporting for all brands and business units.

We offer a hybrid working arrangement with 1 day per week in our Milton Keynes office.

Key Responsibilities
  • Apply best practices for data design, ensuring scalable, high-quality and consistent architecture and modelling.
  • Provide timely and accurate root-cause analysis and resolution within SLA timeframes.
  • Work with the Core Data Lead to build common data models for unified customer and property data.
  • Collaborate with Enterprise Data Architect to define, develop and enhance the ingestion and modelling of source data across the medallion architecture - particularly for CRM data.
Team Roles & Responsibilities
  • Work within the overall data architecture, ensuring that it aligns with the business's data strategy, scalability and future requirements.
  • Continuously optimise for improved data flow, accessibility and performance.

Contract Data Engineer - 9 Month Contract employer: Connells

At Connells Group, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. Our hybrid working model allows for flexibility while our Milton Keynes office serves as a hub for teamwork and professional growth. With a focus on employee development and a commitment to delivering impactful data solutions, we provide our team members with the opportunity to contribute meaningfully to strategic decision-making across the Group.

Connells

Contact Detail:

Connells Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Contract Data Engineer - 9 Month Contract

Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.

Tip Number 2

Get your hands dirty with some practical projects. Whether it's contributing to open-source or building your own data pipelines, showcasing your skills through real-world applications can make you stand out in interviews.

Tip Number 3

Prepare for those technical interviews! Brush up on your data modelling and architecture knowledge, and be ready to discuss how you've tackled challenges in past projects. We want to see your problem-solving skills in action!

Tip Number 4

Don't forget to apply through our website! It's the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Connells Group.

We think you need these skills to ace Contract Data Engineer - 9 Month Contract

Data Engineering
Data Modelling
Medallion Architecture
Data Pipelines
Root-Cause Analysis
Collaboration
Data Design Best Practices

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data modelling, architecture, and pipelines. We want to see how your skills align with what we’re looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our Group Technology team. Share specific examples of your past work that relate to the responsibilities listed in the job description.

Showcase Your Technical Skills:Don’t forget to mention your technical skills relevant to the role. Whether it's your experience with medallion architecture or CRM data, we want to know how you can contribute to our team’s success!

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!

How to prepare for a job interview at Connells

Know Your Data Inside Out

Make sure you brush up on your data engineering skills, especially around medallion architecture and data modelling. Be ready to discuss specific projects where you've applied these concepts, as it shows you're not just familiar with the theory but have practical experience too.

Showcase Your Problem-Solving Skills

Prepare to share examples of how you've tackled root-cause analysis in past roles. Think of a time when you resolved a complex data issue within SLA timeframes, and be ready to explain your thought process and the impact of your solution.

Collaboration is Key

Since you'll be working closely with technical specialists, come prepared to discuss how you've collaborated with others in previous roles. Highlight any experiences where you worked with data architects or other teams to enhance data models or improve data flow.

Understand the Business Context

Familiarise yourself with Connells Group and their brands. Understanding their business strategy and how data supports decision-making will help you articulate how your role as a Data Engineer can contribute to their goals. It shows you're not just a techie but also care about the bigger picture.