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- Tasks: Design and optimise scalable data pipelines for cutting-edge cloud technologies.
- Company: Leading tech client offering exciting projects and professional growth.
- Benefits: Competitive salary up to £80,000, flexible work, and access to innovative tools.
- Why this job: Join a dynamic team and make an impact with your data engineering skills.
- Qualifications: Experience with cloud platforms and strong programming skills in Python and SQL.
- Other info: Inclusive workplace with opportunities for career advancement.
The predicted salary is between 48000 - 64000 £ per year.
This is an exciting opportunity to work as a Senior Data Engineer delivering scalable, high quality data solutions for a leading client in the technology sector. This position offers professional growth, challenging projects, and access to cutting edge cloud data technologies.
Responsibilities:
- Design, develop, and optimise robust, scalable data pipelines and architectures to support business intelligence and analytics initiatives.
- Manage and maintain cloud-based data platforms (AWS, Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions.
- Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt).
- Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability.
- Develop, maintain, and enhance reporting and analytics capabilities through tools such as PowerBI, Tableau, or QuickSight.
- Apply best practices in data governance, data quality, and performance optimisation.
- Operate in an agile environment, contributing to technical discussions and problem-solving initiatives.
Requirements:
- Proven experience in building and managing cloud-based data platforms (AWS Redshift/Glue, Azure Data Factory/Synapse, Google BigQuery/Dataflow).
- Strong programming skills in Python, SQL, and Java for data engineering tasks.
- Experience designing reliable, maintainable, and high-performance data pipelines and architectures.
- Broad understanding of data warehousing, data lakes, and lakehouse architectures.
- Familiarity with business intelligence and data visualisation tools.
- Excellent analytical thinking, attention to detail, and problem-solving skills.
- Strong collaboration and communication skills, able to work with both technical and non-technical stakeholders.
- Comfortable with complexity, ambiguity, and working independently or as part of a team in a fast-paced environment.
We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
Locations
Senior Data Engineer in Leeds, Yorkshire employer: Fruition Group
Contact Detail:
Fruition Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Leeds, Yorkshire
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or tech conferences. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Create a portfolio showcasing your projects and achievements. Whether it's GitHub repos or case studies, let your work speak for itself. This is your chance to shine and demonstrate your expertise in data engineering!
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and data concepts. Practice common interview questions and scenarios related to data pipelines and cloud platforms. Confidence is key, so show them what you've got!
✨Apply Through Our Website
Don't forget to apply directly through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer in Leeds, Yorkshire
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with cloud platforms and data pipelines, and don’t forget to mention any relevant tools like Apache Spark or PowerBI that you’ve worked with.
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 your skills align with our needs. Be sure to mention specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills: We want to see your technical prowess! Include examples of your programming skills in Python, SQL, or Java, and describe how you've used them to solve real-world problems in your previous roles.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Fruition Group
✨Know Your Tech Stack
Make sure you’re well-versed in the cloud platforms mentioned in the job description, like AWS, Azure, or Google Cloud. Brush up on your experience with data lakes and warehouses, and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data engineering challenges in the past. Think about times when you optimised data pipelines or improved data quality, and be ready to explain your thought process and the impact of your solutions.
✨Communicate Clearly
Since you'll be collaborating with both technical and non-technical stakeholders, practice explaining your work in simple terms. Be prepared to discuss how you ensure high-quality data availability and how you’ve worked with teams to achieve common goals.
✨Demonstrate Your Agile Mindset
Familiarise yourself with agile methodologies and be ready to discuss how you've contributed to agile teams in the past. Highlight your adaptability and willingness to engage in technical discussions, as this will show that you can thrive in a fast-paced environment.
