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For Companies At a Glance
- Tasks: Design and optimise scalable data solutions for clients using cutting-edge technologies.
- Company: Join a top tech consultancy in the North, known for innovation and excellence.
- Benefits: Enjoy hybrid working, competitive salary, and a collaborative work culture.
- Why this job: Be part of a dynamic team that values creativity and problem-solving in data engineering.
- Qualifications: Experience with cloud platforms like AWS, data processing languages, and modern data stacks required.
- Other info: We celebrate diversity and encourage applications from all backgrounds.
The predicted salary is between 43200 - 72000 £ per year.
- Senior Data Engineer – AWS
- Leeds/Hybrid, c. 2x per week
- Salary – Competitve/Negotiable
The Role
Joining one of the best tech consultancies in the North. The Senior Data Engineer role focuses on the production of scalable and robust data solutions for clients, through conception, deployment and their ongoing evolution. Working closely with stakeholders across the business – including product managers, analysts, and software developers you will ensure seamless data integration and reporting capabilities to support informed decision-making.
The role focuses on building and optimising data pipelines, managing data warehousing, and ensuring high-quality data availability for business insights. You will be instrumental in enabling efficient data processing, transformation, and analysis through best-in-class technologies and methodologies.
Your ability to design scalable data solutions, solve problems creatively, and collaborate with both technical and non-technical teams will be crucial to success. While technical expertise is at the core of the role, strong communication skills and a proactive mindset are equally important to ensure the delivery of robust, future-proof data solutions.
Key Skills
- Experience developing modern data stacks and cloud data platforms.
- Capable of engineering scalable data pipelines using ETL/ELT tools eg Apache Spark, Airflow, dbt.
- Expertise with cloud data platforms eg AWS (Redshift, Glue), Azure (Data Factory, Synapse), Google Cloud (BigQuery, Dataflow).
- Proficiency in data processing languages eg Python, Java, SQL
- The ability to design and implement reliable, maintainable and performant data architectures.
- Good knowledge of data warehousing, data lakes, and data lakehouse architectures.
- Broad experience with visualization tools eg PowerBI, QuickSight, Tableau.
- Comfortability with agile ways of working.
- Good communication and teamwork skills.
- Willing to embrace complexity and uncertainty.
- An analytical mind and good attention to detail.
- Ability to work independently and collaboratively 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.
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Senior Data Engineer - AWS employer: Fruition Group
Contact Detail:
Fruition Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - AWS
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as AWS services like Redshift and Glue. Having hands-on experience or projects showcasing your skills with these platforms can set you apart during discussions.
✨Tip Number 2
Prepare to discuss your experience with data pipelines and ETL/ELT processes. Be ready to share examples of how you've built scalable solutions in previous roles, as this will demonstrate your practical knowledge and problem-solving abilities.
✨Tip Number 3
Highlight your communication skills by preparing to explain complex technical concepts in simple terms. This is crucial for collaborating with non-technical stakeholders, so practice articulating your past projects in a way that showcases your ability to bridge the gap between tech and business.
✨Tip Number 4
Show your enthusiasm for agile methodologies and teamwork. Be prepared to discuss how you've successfully worked in fast-paced environments and contributed to team goals, as this aligns well with the collaborative nature of the role.
We think you need these skills to ace Senior Data Engineer - AWS
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with AWS and the tools mentioned in the job description. Use specific examples to demonstrate your skills in building scalable data pipelines and managing data warehousing.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the role. Mention how your previous experiences align with the responsibilities outlined in the job description, especially your ability to collaborate with both technical and non-technical teams.
Highlight Key Skills: In your application, emphasise your expertise in ETL/ELT tools and cloud platforms like AWS. Be sure to mention any experience you have with data processing languages such as Python or SQL, as well as your familiarity with data visualisation tools.
Showcase Problem-Solving Abilities: Provide examples in your application that illustrate your problem-solving skills and your ability to design reliable data architectures. This will demonstrate your capability to handle the complexities of the role and your proactive mindset.
How to prepare for a job interview at Fruition Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with modern data stacks and cloud platforms, especially AWS. Highlight specific projects where you've engineered scalable data pipelines using tools like Apache Spark or Airflow.
✨Demonstrate Problem-Solving Abilities
Expect to face scenario-based questions that assess your problem-solving skills. Think of examples where you've creatively solved complex data challenges and be ready to explain your thought process.
✨Emphasise Communication Skills
Since the role involves collaboration with both technical and non-technical teams, practice articulating complex concepts in simple terms. Share experiences where effective communication led to successful project outcomes.
✨Prepare for Agile Methodologies
Familiarise yourself with agile practices, as this role requires comfort with agile ways of working. Be ready to discuss how you've adapted to changing requirements and contributed to iterative development processes.
