Data Engineer

Data Engineer

Full-Time 50000 - 65000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Build scalable data pipelines and ensure data quality for impactful business decisions.
  • Company: Truespeed, a forward-thinking firm focused on data-driven insights.
  • Benefits: Enjoy hybrid working, private healthcare, generous holiday, and a supportive work environment.
  • Other info: Great career growth opportunities in a dynamic and innovative setting.
  • Why this job: Join a growing team and make a real difference with your data engineering skills.
  • Qualifications: Experience with databases, ETL pipelines, and cloud technologies is essential.

The predicted salary is between 50000 - 65000 £ per year.

Truespeed is dedicated to integrating data-driven insights into every facet of their operations. As a growing firm, they aim to place data at the heart of their decision-making processes. The Data Engineer role is pivotal in supporting the data architecture, ensuring reliability and availability for business operations.

Responsibilities

  • Deliver scalable and reliable data pipelines
  • Design detailed schemas and data contracts
  • Ensure data quality across relational, graph, and no-sql databases
  • Develop data engineering principles and practices
  • Enhance data governance, security, and compliance in collaboration with technical leadership
  • Support the analytics team by providing necessary data
  • Collaborate on solving critical business problems

Benefits

  • Hybrid working
  • Life insurance scheme, 4x annual salary
  • Private healthcare
  • Pension scheme
  • Employee referral scheme
  • 25 days holiday plus bank holidays
  • Free on-site parking
  • Employee Assistance Programme

Requirements

  • Extensive experience with databases
  • Experience with ETL pipelines, DBT, Data Mesh
  • Cloud databases (Google Big Query, AWS Redshift)
  • Linux/Unix OS, terminal and scripting
  • Experience with container technologies (Docker, Podman)
  • Structured data types (CSV, JSON, XML)
  • ISO query and data standards
  • Development practices (Source/Revision control, TDD, CI/CD, Scrum)

Additional

  • Geospatial data experience
  • Programming languages experience (Python, Bash/Shell, Java)
  • Knowledge of the telecoms sector

Candidates must have valid work authorization for the UK. No agency applications will be considered.

Data Engineer employer: Truespeed

Truespeed is an exceptional employer that prioritises a data-driven culture, offering a hybrid working model that promotes flexibility and work-life balance. With a strong focus on employee growth, Truespeed provides comprehensive benefits including private healthcare, a generous holiday allowance, and opportunities for professional development, making it an ideal place for Data Engineers to thrive in a supportive and innovative environment.
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Contact Detail:

Truespeed Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer

✨Tip Number 1

Network like a pro! Reach out to current employees at Truespeed on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.

✨Tip Number 2

Show off your skills! Prepare a mini-project or a portfolio that highlights your experience with data pipelines and databases. This hands-on approach can really impress during interviews.

✨Tip Number 3

Be ready to discuss real-world problems! Think about how you've tackled data challenges in the past and be prepared to share those stories. It shows you're not just about theory but can apply your knowledge practically.

✨Tip Number 4

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 the Truespeed team.

We think you need these skills to ace Data Engineer

Data Pipeline Development
Database Management
ETL Pipelines
DBT
Data Mesh
Cloud Databases (Google Big Query, AWS Redshift)
Linux/Unix OS
Scripting (Bash/Shell)
Container Technologies (Docker, Podman)
Structured Data Types (CSV, JSON, XML)
ISO Query and Data Standards
Development Practices (Source/Revision Control, TDD, CI/CD, Scrum)
Geospatial Data Experience
Programming Languages (Python, Java)

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with databases, ETL pipelines, and any relevant programming languages like Python or Java. 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 passionate about data engineering and how you can contribute to our mission at Truespeed. Keep it concise but impactful – 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 directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture!

How to prepare for a job interview at Truespeed

✨Know Your Data Inside Out

Make sure you’re well-versed in the databases and ETL pipelines mentioned in the job description. Brush up on your knowledge of Google Big Query, AWS Redshift, and any relevant programming languages like Python or Bash. Being able to discuss specific projects where you've used these technologies will really impress the interviewers.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled critical business problems using data engineering principles. Think about times when you designed scalable data pipelines or ensured data quality across different database types. This will demonstrate your ability to contribute effectively to their operations.

✨Understand Their Business

Research Truespeed and their focus on integrating data-driven insights. Familiarise yourself with their operations and how data plays a role in decision-making. This knowledge will help you tailor your answers and show that you're genuinely interested in the company and its mission.

✨Ask Insightful Questions

Prepare thoughtful questions about their data governance practices, team structure, or upcoming projects. This not only shows your enthusiasm for the role but also gives you a chance to assess if the company culture aligns with your values. Plus, it keeps the conversation engaging!

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