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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 make a real impact in data analytics while developing your 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.
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. Understanding how to navigate these tools will give you a significant edge during the interview process.
✨Tip Number 2
Brush up on your coding skills, especially in Python, PySpark, and Java. Being able to demonstrate your coding abilities through practical examples or projects can really impress the hiring team.
✨Tip Number 3
Prepare to discuss your experience with debugging and maintaining data pipelines. Have specific examples ready that showcase your problem-solving skills and how you've handled similar challenges in the past.
✨Tip Number 4
Research Hexegic and their projects to understand their work culture and values. Tailoring your conversation to align with their mission can help you stand out as a candidate who is genuinely interested in the role.
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 pipeline development tools.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your coding abilities and any previous work with data pipelines or analytics tools.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your problem-solving skills. Mention specific examples of how you've successfully managed data health issues or improved pipeline efficiency in past roles.
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.
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 Pipeline Concepts
Familiarise yourself with data pipeline development tools and concepts. Be ready to explain how you would maintain build schedules and set up health checks, as well as how you would respond to data health failures.
✨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 and 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.
