At a Glance
- Tasks: Design and optimise scalable data solutions using Google Cloud Platform.
- Company: Join Arj Global, a leader in cloud and data transformation.
- Benefits: Enjoy a competitive salary, flexible hybrid work, and professional development support.
- Other info: Collaborative culture with opportunities for career growth and innovation.
- Why this job: Make an impact on enterprise-scale projects while mentoring the next generation of engineers.
- Qualifications: 8+ years in Data Engineering with strong GCP experience required.
The predicted salary is between 60000 - 80000 £ per year.
Company: Arj Global
Location: Manchester, UK
Work Model: Hybrid – 80% Remote / 20% On-site (Client Site or Arj Global Office - Trafford)
About the Role
Arj Global is seeking a highly skilled Senior Data Engineer with over 8 years of experience in data engineering, including at least 3 years of hands-on experience with Google Cloud Platform (GCP). The successful candidate will be responsible for designing, building, and optimizing scalable data solutions that support analytics, reporting, and business intelligence initiatives across multiple client engagements. This role requires strong technical expertise, leadership capabilities, and the ability to collaborate with cross-functional teams in a hybrid working environment.
Key Responsibilities
- Design, develop, and maintain scalable and reliable data pipelines and ETL/ELT processes.
- Build and optimize cloud-based data platforms using GCP services.
- Develop data integration solutions for structured and unstructured data sources.
- Implement data quality, governance, security, and monitoring frameworks.
- Create and maintain data models to support analytics and reporting requirements.
- Work closely with business stakeholders, data analysts, architects, and developers to understand data needs and deliver solutions.
- Optimize performance, scalability, and cost efficiency of data platforms.
- Mentor junior and mid-level data engineers and contribute to engineering best practices.
- Support data migration and modernization initiatives from on-premise or legacy systems to cloud platforms.
- Participate in solution design, code reviews, and technical documentation.
Required Experience & Skills
Essential
- 8+ years of experience in Data Engineering, Data Warehousing, or related fields.
- 3+ years of hands-on experience with Google Cloud Platform (GCP).
- Strong experience building data pipelines using:
- Google Cloud Dataflow
- BigQuery
- Cloud Storage
- Pub/Sub
- Cloud Composer (Apache Airflow)
- Dataproc
- Strong SQL development and query optimization skills.
- Experience with Python and/or Java for data engineering solutions.
- Experience designing and implementing ETL/ELT frameworks.
- Strong understanding of data modelling concepts (star schema, dimensional modelling, data vault, etc.).
- Experience working with large-scale datasets and distributed processing frameworks.
- Knowledge of CI/CD practices and DevOps principles.
- Experience with Git-based version control systems.
- Strong problem-solving, analytical, and communication skills.
Preferred
- Experience with Apache Spark.
- Experience with Terraform or Infrastructure as Code (IaC).
- Knowledge of data governance and data security best practices.
- Experience working in Agile/Scrum environments.
- GCP Professional Data Engineer certification.
- Exposure to multi-cloud environments (AWS and/or Azure).
Leadership & Soft Skills
- Ability to lead technical discussions and influence architectural decisions.
- Strong stakeholder management skills.
- Experience mentoring and coaching engineering teams.
- Excellent communication skills with both technical and non-technical audiences.
- Ability to work independently in a hybrid environment.
Education
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
- Relevant cloud and data engineering certifications are highly desirable.
Working Arrangement
- Location: Manchester, UK
- Remote Working: 80%
- On-site Requirement: 20% (at client locations and/or Arj Global offices as required)
- Occasional travel may be required based on project needs.
What We Offer
- Competitive salary and benefits package.
- Flexible hybrid working model.
- Opportunity to work on enterprise-scale cloud and data transformation projects.
- Professional development and certification support.
- Collaborative and innovative working environment.
Senior Data Engineer (GCP) in Manchester employer: Arj. Global Ltd
Arj Global is an exceptional employer located in Manchester, offering a flexible hybrid working model that allows for 80% remote work. With a strong focus on professional development and a collaborative work culture, employees have the opportunity to engage in enterprise-scale cloud and data transformation projects while receiving support for certifications and growth. The company values innovation and teamwork, making it an ideal place for skilled professionals looking to make a meaningful impact in the field of data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (GCP) in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry meetups. You never know who might have the inside scoop on job openings at companies like Arj Global.
✨Tip Number 2
Show off your skills in interviews! Prepare to discuss your experience with GCP and data engineering projects. Bring examples of how you've built scalable data solutions and optimised performance.
✨Tip Number 3
Don’t just apply – engage! When you find a role that excites you, apply through our website and follow up with a friendly email. Let them know you’re keen and ready to contribute!
✨Tip Number 4
Be ready to demonstrate your problem-solving skills. Prepare for technical questions and coding challenges that showcase your expertise in SQL, Python, and data pipeline design.
We think you need these skills to ace Senior Data Engineer (GCP) in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with GCP and data engineering. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Show Off Your Technical Skills:Since this role requires strong technical expertise, make sure to mention specific tools and technologies you’ve worked with, like BigQuery or Dataflow. We’re keen to know how you’ve used these in real-world scenarios.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Arj. Global Ltd
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge. Be ready to discuss specific services like Dataflow, BigQuery, and Pub/Sub. Prepare examples of how you've used these tools in past projects to demonstrate your hands-on experience.
✨Showcase Your Data Pipeline Skills
Be prepared to talk about your experience designing and building data pipelines. Think of a couple of key projects where you implemented ETL/ELT processes and be ready to explain the challenges you faced and how you overcame them.
✨Highlight Your Leadership Experience
Since this role involves mentoring junior engineers, come equipped with examples of how you've led teams or influenced architectural decisions. Share stories that showcase your ability to communicate effectively with both technical and non-technical stakeholders.
✨Prepare for Technical Questions
Expect some deep dives into SQL development and data modelling concepts. Brush up on your problem-solving skills and be ready to tackle hypothetical scenarios or case studies that test your analytical thinking and technical expertise.
