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- Tasks: Design and maintain data pipelines, create dashboards, and optimise data systems.
- Company: Pontoon is an inclusive employment consultancy focused on enhancing workplace diversity.
- Benefits: Enjoy hybrid work options and a supportive environment that values your unique skills.
- Why this job: Join a dynamic team to shape data infrastructure and make impactful business decisions.
- Qualifications: Experience in data engineering, GCP services, Power BI, and strong Python skills required.
- Other info: 6-month contract with potential for extension; we support diverse backgrounds and needs.
The predicted salary is between 36000 - 60000 £ per year.
Duration: 6 Months (potential to extend)
Location: Leeds or Edinburgh (Hybrid – 2 days per week in-office)
About the Role:
We’re looking for an experienced Data Engineering Analyst to join our team on a 6-month contract. In this role, you will be instrumental in shaping our data infrastructure, enabling seamless data flows, and delivering actionable insights through advanced analytics and visualization.
What You’ll Be Doing:
- Design, build, and maintain data pipelines using GCP technologies such as BigQuery, Cloud Storage, and Cloud Dataflow
- Develop insightful dashboards and reports in Power BI to support key business decisions
- Write efficient, scalable Python code for data transformation and analysis
- Collaborate across teams to gather requirements and deliver data solutions
- Troubleshoot and optimize existing data systems for performance and scalability
What We’re Looking For:
- Experience in data engineering, data analysis, or a related discipline
- Proven hands-on expertise with GCP services (BigQuery, Cloud Storage, Dataflow)
- Proficiency in Power BI for creating reports and dashboards
- Strong Python skills, including experience with data libraries like Pandas and NumPy
- Solid background in ETL processes, data pipeline design, and data warehousing
- Detail-oriented with excellent problem-solving and communication skills
Nice to Have:
- Knowledge of data governance, quality, and security best practices
- Experience working in Agile environments and using Git for version control
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone’s chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Data Engineering Analyst employer: Pontoon Solutions
Contact Detail:
Pontoon Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Analyst
✨Tip Number 1
Familiarise yourself with GCP technologies, especially BigQuery and Cloud Dataflow. Consider working on personal projects or contributing to open-source projects that utilise these tools to showcase your hands-on experience.
✨Tip Number 2
Brush up on your Power BI skills by creating sample dashboards that demonstrate your ability to turn data into actionable insights. This will not only enhance your portfolio but also give you practical examples to discuss during interviews.
✨Tip Number 3
Network with professionals in the data engineering field, particularly those who have experience with GCP and Power BI. Attend relevant meetups or webinars to gain insights and potentially get referrals for job openings.
✨Tip Number 4
Prepare to discuss your problem-solving approach and past experiences with data pipeline design and ETL processes. Be ready to provide specific examples of how you've optimised data systems in previous roles.
We think you need these skills to ace Data Engineering Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering and analysis. Emphasise your hands-on expertise with GCP services, Power BI, and Python. Use specific examples to demonstrate your skills in building data pipelines and creating insightful dashboards.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the role of Data Engineering Analyst. Discuss your experience with data transformation, ETL processes, and how you can contribute to the team’s goals. Show enthusiasm for the opportunity and mention why you want to work with this company.
Showcase Relevant Projects: If you have worked on projects involving GCP technologies or data visualisation tools like Power BI, include these in your application. Briefly describe the project, your role, and the impact it had on the business. This will help demonstrate your practical experience.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a role that involves data accuracy and analysis.
How to prepare for a job interview at Pontoon Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your experience with GCP technologies like BigQuery and Cloud Dataflow. Bring examples of data pipelines you've built or optimised, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Analytical Mindset
Highlight your ability to transform data into actionable insights. Discuss specific dashboards or reports you've created in Power BI, focusing on how they supported business decisions and improved outcomes.
✨Emphasise Collaboration
Since this role involves working across teams, share examples of how you've successfully collaborated with others to gather requirements and deliver data solutions. Communication is key, so demonstrate your ability to convey complex ideas clearly.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills, especially related to troubleshooting and optimising data systems. Think of scenarios where you identified performance issues and the steps you took to resolve them.
