Data Engineer

Data Engineer

Stoke-on-Trent Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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Peregrine

At a Glance

  • Tasks: Design and maintain secure data pipelines using cutting-edge technologies.
  • Company: Join Peregrine, a forward-thinking company that values collaboration and innovation.
  • Benefits: Enjoy competitive salary, flexible working, and career development opportunities.
  • Why this job: Make an impact by working on diverse projects across multiple industries.
  • Qualifications: Proficiency in Java and SQL; experience with big data tools is a plus.
  • Other info: Dynamic work environment with a strong commitment to diversity and inclusion.

The predicted salary is between 36000 - 60000 £ per year.

Join Us as a Data Engineer for Our Client

At Peregrine, we’re always seeking Specialist Talent with the ideal mix of skills, experience, and attitude to place with our diverse range of clients. From Business Analysts in large government organisations to Software Developers in the private sector – we are always in search of the best talent to place, now.

How Specialist Talent Works

As a permanent employee of Peregrine, you’ll enjoy all our standard benefits while being deployed across our portfolio of clients as a specialist consultant. You’ll work on a wide array of complex projects across multiple industries, gaining exposure to cutting-edge technologies and high-impact initiatives.

The Role

We’re looking for a Data Engineer to join a highly regulated environment, where you’ll be responsible for designing, building, and maintaining secure, scalable, and efficient data pipelines across cloud and on-premises platforms. Your work will enable seamless data integration, transformation, and delivery to support analytics, reporting, and operational needs.

You’ll collaborate with data architects, cybersecurity experts, and compliance teams to integrate data from diverse sources including databases, APIs, and cloud services. Your pipelines will support batch processing, real-time streaming, and event-driven architectures.

Responsibilities

  • Design, build, and maintain secure and scalable data pipelines using NiFi and other big data tools.
  • Optimize NiFi flows for performance, reliability, and error handling.
  • Integrate data from cloud platforms, SQL/NoSQL databases, APIs, and third-party systems.
  • Ensure data infrastructure complies with regulatory and security standards.
  • Support data migration and disaster recovery strategies.
  • Monitor and improve data infrastructure performance.
  • Collaborate with cross-functional teams to align data solutions with business and compliance needs.
  • Document data flows and engineering processes for transparency and knowledge sharing.

Skills & Experience

Programming & Data Technologies

  • Proficiency in Java and SQL.
  • Experience with C# and Scala is a plus.
  • Familiarity with ETL tools and big data platforms.
  • Knowledge of data modelling, replication, and query optimization.
  • Experience with SQL and NoSQL databases.
  • Exposure to data warehousing tools (e.g., Snowflake, Redshift, BigQuery).

Data Platform Management

  • Experience in hybrid environments (cloud/on-prem).
  • Skilled in integrating diverse data sources.
  • Understanding of secure data transfer and disaster recovery planning.

CI/CD & DevOps

  • Experience with CI/CD pipelines for deploying data flows and infrastructure.
  • Familiarity with Git, Jenkins, Azure DevOps, or similar tools.

Ways of Working

  • Comfortable in Agile/Scrum environments.
  • Experience with Jira, Confluence, Azure DevOps.

Communication & Collaboration

  • Strong communication skills for technical and non-technical audiences.
  • Proven ability to collaborate across engineering, product, and compliance teams.
  • Skilled in stakeholder management and relationship building.

Analytical Thinking

  • Strong problem-solving skills for complex data flow issues.
  • Ability to manage multiple priorities in dynamic environments.
  • Detail-oriented with a focus on quality and delivery.

About Us

At Peregrine, we look beyond the immediate and toward the horizon. We build lasting partnerships with our clients and deliver flexible resourcing solutions to help them grow the workforce they need. Our benefits package supports you throughout your career with us.

Our Culture

We embrace fresh ideas and fast learning. Our solutions are trusted and built on a solid foundation. We value openness, honesty, and collaboration. We believe our work can positively impact society—whether it’s sourcing digital talent or driving social mobility.

Our Commitment to Diversity

We champion diversity and inclusion through company-wide initiatives. Our teams represent a wide range of cultures, languages, and backgrounds. We partner with charities to stay informed and continuously improve our practices, helping our clients build more diverse teams.

Data Engineer employer: Peregrine

At Peregrine, we pride ourselves on being an excellent employer by offering a dynamic work culture that fosters innovation and collaboration. As a Data Engineer, you'll have the opportunity to work on diverse projects across various industries, gaining exposure to cutting-edge technologies while enjoying a comprehensive benefits package that supports your career growth. Our commitment to diversity and inclusion ensures a welcoming environment where your unique skills and perspectives are valued.
Peregrine

Contact Detail:

Peregrine Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer

✨Network Like a Pro

Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering field. You never know when a casual chat could lead to your next big opportunity.

✨Show Off Your Skills

Create a portfolio showcasing your projects and skills. Whether it’s GitHub repos or a personal website, let your work speak for itself. This is your chance to demonstrate your expertise in building data pipelines and optimising flows!

✨Ace the Interview

Prepare for technical interviews by brushing up on your Java, SQL, and big data tools. Practice common data engineering problems and be ready to discuss how you’ve tackled challenges in past projects. Confidence is key!

✨Apply Through Us

Don’t forget to check out our website for the latest job openings! Applying through us not only gives you access to exclusive roles but also connects you with a team that’s dedicated to helping you land that dream job.

We think you need these skills to ace Data Engineer

Data Pipeline Design
NiFi
Java
SQL
C#
Scala
ETL Tools
Big Data Platforms
Data Modelling
SQL/NoSQL Databases
Data Warehousing Tools
Cloud Platforms
CI/CD Pipelines
Git
Agile/Scrum

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight relevant skills like Java, SQL, and experience with data pipelines. 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 experience aligns with our needs. Keep it engaging and personal – we love to see your personality!

Showcase Your Projects: If you've worked on any cool projects, don’t hold back! Include links or descriptions of your work with data pipelines, cloud platforms, or any big data tools. This gives us a glimpse into your hands-on experience.

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 updates. Plus, it’s super easy!

How to prepare for a job interview at Peregrine

✨Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, especially Java, SQL, and NiFi. Brush up on your knowledge of ETL tools and big data platforms, as these will likely come up during technical questions.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've tackled complex data flow issues. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking and attention to detail.

✨Understand Compliance and Security

Since the role involves working in a highly regulated environment, be ready to talk about your experience with data security and compliance standards. Familiarise yourself with common regulations that might affect data engineering, such as GDPR or HIPAA.

✨Collaborate and Communicate

Demonstrate your ability to work with cross-functional teams by sharing past experiences where you collaborated with engineers, product managers, or compliance teams. Highlight your communication skills, especially how you can explain technical concepts to non-technical audiences.

Data Engineer
Peregrine
Location: Stoke-on-Trent
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