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For Companies At a Glance
- Tasks: Ensure data health by responding to failures and modifying code in 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 an impact with your coding skills in a rewarding environment.
- Qualifications: Proficient in Python, PySpark, and Java; basic understanding of Spark required.
- Other info: Candidates must have UK nationality and residency for security clearance.
The predicted salary is between 40000 - 60000 £ per year.
The role
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.
Data Pipeline Engineer employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Pipeline Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, PySpark, and Java. Consider building a small project or contributing to open-source projects that utilise these languages to showcase your skills.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with data pipelines. Attend relevant meetups or webinars to connect with potential colleagues and learn more about industry best practices.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges related to data pipeline development. Websites like LeetCode or HackerRank can be great resources to sharpen your problem-solving skills.
✨Tip Number 4
Research Hexegic and understand their projects and values. Tailor your conversations during interviews to reflect how your skills and experiences align with their mission and the specific role of a Data Pipeline Engineer.
We think you need these skills to ace Data Pipeline Engineer
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 knowledge of Spark.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your coding abilities and any experience with data pipelines or analytics tools.
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 maintain and debug data pipelines.
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.
How to prepare for a job interview at JR United Kingdom
✨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, set up health checks, and respond to data health failures. Showing a solid understanding of these processes will impress the interviewers.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to triage and debug pipelines. Think through past experiences where you've resolved similar issues and be ready to explain your thought process clearly.
✨Communicate Effectively
As communication is key in this role, practice articulating your thoughts clearly. Be prepared to discuss how you would communicate outages to end users and ensure they understand the impact on their work.
