Data Pipeline Engineer
Data Pipeline Engineer

Data Pipeline Engineer

Full-Time 40000 - 84000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Ensure data accuracy in analytics tools by managing and debugging data pipelines.
  • Company: Hexegic is a top technical consultancy offering exciting projects for career growth.
  • Benefits: Enjoy a competitive salary, professional development budget, wellness programme, and hybrid work options.
  • Why this job: Join a dynamic team and make a real impact on data health in high-performing organisations.
  • Qualifications: Proficient in Python, PySpark, and Java with a basic understanding of Spark required.
  • Other info: Candidates must have UK nationality and residency for at least 5 years for security clearance.

The predicted salary is between 40000 - 84000 £ per year.

You will ensure our customer works with updated and correct data in our data analytics tools by being the first to respond to data health failures on key pipelines, reading code and making changes.

About us

Hexegic are a leading technical consultancy providing agile multi-disciplinary teams to high performing organisations. The company promises exciting, engaging and rewarding projects for those that are keen to develop and build a successful career.

Core Responsibilities

  • Maintain build schedules so that pipelines run effectively
  • Set up and maintain health checks on data pipelines
  • Respond, triage and debug the pipelines when broken
  • Read and make changes to code, and modify monitoring set-ups
  • Communicating outages to end users

What we are looking for

  • Comfortable reading and writing code in Python, PySpark and Java
  • Basic understanding of Spark
  • Ability to navigate pipeline development tools

What’s in it for you?

  • Base salary of £50,000-£60,000
  • £5000 a year professional development budget
  • Wellness program
  • 25 days annual leave
  • Hybrid working arrangements

Please note that successful candidates must be eligible for UK security clearance, with sole UK nationality and residency in the UK of minimum 5 years.

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Contact Detail:

Hexegic Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Pipeline Engineer

✨Tip Number 1

Familiarise yourself with the specific data pipeline tools and technologies mentioned in the job description. Having hands-on experience or projects that showcase your skills in Python, PySpark, and Java will make you stand out.

✨Tip Number 2

Engage with the data engineering community online. Join forums, attend webinars, or participate in discussions related to data pipelines and analytics. This can help you gain insights and potentially connect with current employees at Hexegic.

✨Tip Number 3

Prepare to discuss real-world scenarios where you've successfully debugged data pipelines or improved their efficiency. Being able to share specific examples will demonstrate your problem-solving skills and technical expertise.

✨Tip Number 4

Research Hexegic's recent projects and initiatives. Understanding their work and values will allow you to tailor your conversations during interviews, showing that you're genuinely interested in contributing to their success.

We think you need these skills to ace Data Pipeline Engineer

Proficiency in Python
Experience with PySpark
Knowledge of Java
Understanding of Spark architecture
Data pipeline development tools
Debugging skills
Code modification capabilities
Monitoring setup experience
Communication skills for outage reporting
Problem-solving skills
Attention to detail
Ability to maintain build schedules
Agile methodology familiarity
Adaptability to changing requirements

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Pipeline Engineer. Familiarise yourself with the key skills required, such as coding in Python, PySpark, and Java, as well as the importance of maintaining data health.

Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your coding abilities, experience with data pipelines, and any previous roles that involved debugging or maintaining data systems.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of Hexegic's mission. Mention specific projects or experiences that demonstrate your ability to handle data health failures and communicate effectively with end users.

Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail, which is crucial for this role.

How to prepare for a job interview at Hexegic

✨Brush Up on Your Coding Skills

Since the role requires reading and writing code in Python, PySpark, and Java, make sure you're comfortable with these languages. Review common coding challenges and be prepared to discuss your previous coding experiences during the interview.

✨Understand Data Pipelines

Familiarise yourself with data pipeline concepts and tools. Be ready to explain how you would maintain build schedules and set up health checks. This will show that you understand the core responsibilities of the role.

✨Prepare for Problem-Solving Questions

Expect questions that assess your ability to triage and debug pipelines. Think of examples from your past experience where you successfully resolved similar issues, and be ready to walk the interviewer through your thought process.

✨Communicate Clearly

Effective communication is key, especially when discussing outages with end users. Practice explaining technical concepts in simple terms, as this will demonstrate your ability to convey important information clearly and effectively.

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