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- Tasks: Ensure data accuracy by responding to pipeline failures and making code changes.
- 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 work on impactful projects while developing your coding skills.
- Qualifications: Proficient in Python, PySpark, and Java with a basic understanding of Spark.
- Other info: Candidates must have UK nationality and residency for at least 5 years.
The predicted salary is between 40000 - 60000 £ per year.
The role involves ensuring 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.
Data Pipeline Engineer employer: Hexegic
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 not only enhances your knowledge but also helps you network with professionals in the field.
✨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 during interviews can demonstrate your problem-solving skills and technical expertise.
✨Tip Number 4
Research Hexegic and understand their projects and values. Tailoring your conversation to align with their mission and showcasing how your skills can contribute to their success will leave a positive impression.
We think you need these skills to ace Data Pipeline Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, PySpark, and Java. Include specific examples of projects where you've maintained data pipelines or debugged issues, as this will show you have the relevant skills for the role.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with Hexegic's focus on agile multi-disciplinary teams and your commitment to maintaining data integrity in analytics tools.
Showcase Problem-Solving Skills: Provide examples in your application of how you've responded to data health failures in the past. Highlight your ability to triage and debug pipelines effectively, as this is a key responsibility of the role.
Highlight Communication Skills: Since the role involves communicating outages to end users, emphasise any experience you have in effectively conveying technical information to non-technical stakeholders. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
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 demonstrate your coding skills during the interview.
✨Understand Data Pipelines
Familiarise yourself with data pipeline concepts and tools. Be ready to discuss how you would maintain build schedules and set up health checks, as well as how to respond to and debug pipeline failures.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you've had to triage or debug a broken pipeline and be ready to explain your thought process and actions taken.
✨Communicate Clearly
Effective communication is key, especially when informing end users about outages. Practice articulating technical issues in a way that non-technical stakeholders can understand, as this will likely come up in the interview.
