Data Engineer Con Spark/Scala (Remoto)

Data Engineer Con Spark/Scala (Remoto)

Full-Time 45000 - 54000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build robust data pipelines for real-world challenges.
  • Company: Join a high-performing team in national security.
  • Benefits: Competitive salary, hybrid work, 25 days holiday, and comprehensive benefits.
  • Other info: Structured career development with ongoing training and support.
  • Why this job: Make an impact with advanced data solutions in secure environments.
  • Qualifications: Experience in Data Engineering and strong programming skills in Python or SQL.

The predicted salary is between 45000 - 54000 £ per year.

Ready to work on data-driven solutions supporting complex, real-world challenges? We’re looking for a Data Engineer to join a high-performing team delivering advanced data capabilities across a variety of secure and mission-critical environments.

What you’ll have the opportunity to do as a Data Engineer:

  • Designing, building and maintaining robust data pipelines for processing and transforming data
  • Working with both batch and streaming data across modern cloud-based platforms
  • Collaborating closely with architects, analysts and wider engineering teams to deliver scalable data solutions
  • Applying software engineering and DataOps best practices including testing, automation and CI/CD
  • Engaging with stakeholders to understand business requirements and translate them into effective data solutions
  • Contributing to Agile delivery through active participation and continuous improvement

About the Candidate:

The right Data Engineer should have:

  • Proven experience working in a Data Engineering role within complex or data-rich environments
  • Strong programming capability in Python, SQL or similar languages
  • Experience working with cloud platforms and deploying data infrastructure
  • Understanding of data modelling, orchestration, and secure data handling practices
  • Ability to communicate effectively with both technical and non-technical stakeholders

What’s in it for you?

  • Salary ranging from £45,000 to £54,000
  • Hybrid working
  • 25 days holiday per annum with flexibility options
  • Comprehensive benefits package including healthcare and pension
  • Structured career development with ongoing training and support

Data Engineer Con Spark/Scala (Remoto) employer: ANSON MCCADE

Join a dynamic and innovative team as a Data Engineer, where you'll be at the forefront of developing data-driven solutions that tackle real-world challenges in national security. With a competitive salary, hybrid working options, and a commitment to employee growth through structured career development and ongoing training, this role offers a unique opportunity to thrive in a supportive and collaborative work culture. Enjoy a comprehensive benefits package and the chance to make a meaningful impact in secure and mission-critical environments.

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Contact Details:

ANSON MCCADE Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer Con Spark/Scala (Remoto)

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data pipelines, projects, or any relevant work you've done. This gives you a chance to demonstrate your expertise beyond just a CV.

Tip Number 3

Prepare for interviews by brushing up on your technical skills and understanding the company’s mission. Be ready to discuss how your experience aligns with their needs, especially in data engineering and cloud platforms.

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, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Data Engineer Con Spark/Scala (Remoto)

Data Pipeline Design
Data Transformation
Batch and Streaming Data Processing
Cloud Platforms
Software Engineering Best Practices
DataOps
Testing and Automation

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, cloud platforms, and any relevant programming skills like Python or SQL. We want to see how your background fits 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 passionate about data engineering and how your skills can help us tackle real-world challenges. Keep it concise but engaging – we love a good story!

Showcase Your Projects:If you’ve worked on any cool data projects, don’t forget to mention them! Whether it’s a personal project or something from a previous job, showcasing your hands-on experience can really set you apart from other candidates.

Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!

How to prepare for a job interview at ANSON MCCADE

Know Your Data Engineering Basics

Make sure you brush up on your data engineering fundamentals, especially around data pipelines and cloud platforms. Be ready to discuss your experience with batch and streaming data, as well as any specific tools you've used in previous roles.

Showcase Your Programming Skills

Since strong programming capability is key for this role, prepare to talk about your experience with Python, SQL, or similar languages. You might even be asked to solve a coding problem, so practice some common data manipulation tasks beforehand.

Understand the Business Context

This role involves engaging with stakeholders, so it’s crucial to demonstrate your ability to translate business requirements into data solutions. Think of examples where you’ve successfully collaborated with non-technical teams and how you approached those conversations.

Emphasise Agile and CI/CD Experience

Familiarise yourself with Agile methodologies and Continuous Integration/Continuous Deployment (CI/CD) practices. Be prepared to discuss how you’ve contributed to Agile delivery in past projects and how you ensure quality through testing and automation.