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- Tasks: Join our data team to build and optimise data systems and deliver insightful analytics.
- Company: A high-growth travel firm in Blackpool with an innovative and collaborative culture.
- Benefits: Enjoy a salary of £45,000 - £50,000, 25 days holiday, and pension options.
- Why this job: Perfect for those who thrive on transforming complex data into meaningful insights in a dynamic environment.
- Qualifications: 3+ years in data engineering or analysis, strong skills in Google BigQuery and Power BI required.
- Other info: This is an office-based role, 5 days a week, ideal for passionate learners.
The predicted salary is between 39000 - 45000 £ per year.
Data Engineer required by high growth travel firm in Blackpool.
Salary: £45,000 - £50,000 plus pension, 25 days holidays, opportunity to purchase more.
Location: Blackpool, Lancashire - Office Based 5 days a week.
Environment: Innovative, energetic and collaborative culture with regular training and development opportunities.
Looking for a skilled and results-driven Data & Analysis Engineer with hands-on experience in Google BigQuery and Power BI to join our data team. This hybrid role blends data engineering capabilities with analytical insight, perfect for someone who thrives on building scalable data systems and transforming complex data into meaningful business intelligence.
As part of this role, you will build, optimise and maintain robust data infrastructure, manage data pipelines, and deliver insightful dashboards and analytics to support data-driven decision-making across the organisation.
Skills Required:
- 3+ years of experience in a data engineering or data analyst role.
- Strong hands-on experience with Google BigQuery, including writing and optimizing complex SQL queries.
- Experience with GCP (Google Cloud Platform) services beyond BigQuery (e.g., Cloud Functions, Dataflow).
- Proven expertise in Power BI—developing dashboards, managing datasets, and using DAX (Data Glossary).
- Solid understanding of data warehousing, data modelling (star/snowflake schemas), and ETL design.
- Familiarity with version control for data code.
- Proficiency in SQL and experience with relational databases.
- Strong programming skills in Python or Scala for data processing.
- Understanding of data modelling concepts and best practices.
- Experience working with large multi-field datasets sourced from multiple sources.
- Knowledge of other visualization tools (e.g., Looker, Tableau) is a plus.
- Strong problem-solving skills and attention to detail along with excellent communication and collaboration skills.
If you have a passion for learning and developing and enjoy working in a fast-paced startup or tech environment, apply now.
This is an office based role 5 days a week in Blackpool.
Contact Detail:
Zorba Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with Google BigQuery and Power BI before your interview. Make sure you can discuss specific projects where you've used these tools, as practical experience will set you apart from other candidates.
✨Tip Number 2
Brush up on your SQL skills, especially complex queries. Be prepared to demonstrate your problem-solving abilities by discussing how you've optimised data processes in previous roles.
✨Tip Number 3
Showcase your understanding of data warehousing and ETL design during discussions. Being able to articulate your knowledge of star and snowflake schemas will highlight your technical expertise.
✨Tip Number 4
Prepare examples of how you've collaborated with teams to deliver data-driven insights. Strong communication skills are essential, so be ready to explain how you've worked with stakeholders to meet their data needs.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data engineering and analysis. Emphasise your hands-on experience with Google BigQuery, Power BI, and any other required skills mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your ability to thrive in a fast-paced environment. Mention specific projects or achievements that demonstrate your expertise in building scalable data systems and transforming complex data into actionable insights.
Showcase Technical Skills: In your application, clearly outline your technical skills, especially your proficiency in SQL, Python or Scala, and experience with GCP services. Providing examples of how you've used these skills in previous roles can strengthen your application.
Highlight Problem-Solving Abilities: Since the role requires strong problem-solving skills, include examples in your application that illustrate how you've tackled challenges in data engineering or analysis. This will show your potential employer that you can handle the demands of the position.
How to prepare for a job interview at Zorba Consulting Limited
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Google BigQuery and Power BI. Bring examples of complex SQL queries you've written and optimised, as well as any dashboards you've developed. This will demonstrate your technical proficiency and problem-solving abilities.
✨Understand the Company Culture
Research the travel firm’s innovative and collaborative culture. Be ready to discuss how you thrive in such environments and how your previous experiences align with their values. This shows that you're not just a fit for the role, but also for the company.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to handle real-world data challenges. Prepare to explain how you would build and optimise data infrastructure or manage data pipelines. Use specific examples from your past work to illustrate your thought process.
✨Demonstrate Your Passion for Learning
Since the role is in a fast-paced startup environment, express your enthusiasm for continuous learning and development. Share any recent courses or projects you've undertaken to enhance your skills, particularly in areas like GCP services or data modelling.
