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For Companies At a Glance
- Tasks: Design and develop robust ETL pipelines and ensure data integrity across systems.
- Company: Dynamic tech company in Manchester with a hybrid working model.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Why this job: Join a team that drives data solutions and makes impactful decisions.
- Qualifications: 5+ years in data analytics, strong Python skills, and cloud platform expertise.
- Other info: Collaborative culture with opportunities to lead projects and enhance your skills.
The predicted salary is between 36000 - 60000 £ per year.
Work Location: Manchester, UK
Mode of Working: Hybrid
Office Requirement (Hybrid): Tuesday / Wednesday / Thursday
The Role
Seeking a Data Engineer profile with deep technical expertise and thought leadership, provides advanced data solutions by using software to process, store, and serve data to others. Tests data quality and optimizes data availability. Ensures that data pipelines are scalable, repeatable, and secure. Utilizes a deep dive analytical skillset on a variety of internal and external data.
Your Responsibilities
- Writes ETL (Extract / Transform / Load) processes, designs database systems, and develops tools for real-time and offline analytic processing.
- Troubleshoots software and processes for data consistency and integrity. Integrates large-scale data from a variety of sources for business partners to generate insight and make decisions.
- Translates business specifications into design specifications and code. Responsible for writing complex programs, ad hoc queries, and reports. Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse.
- Partners with internal clients to gain an enhanced understanding of business functions and informational needs. Gains expertise in tools, technologies, and applications/databases in specific business areas and company-wide systems.
- Leads all phases of solution development. Explains technical considerations at related meetings, including those with internal clients and less experienced team members.
- Tests code thoroughly for accuracy of intended purpose. Reviews end product with the client to ensure adequate understanding. Provides data analysis guidance as required.
- Designs and conducts training sessions on tools and data sources used by the team and self-provisioners. Provides job aids to team members and business users.
- Tests and implements new software releases through regression testing. Identifies issues and engages with vendors to resolve and elevate software into production.
- Participates in special projects and performs other duties as assigned.
Your Profile
Essential Skills / Knowledge / Experience
- Proficiency in designing, development, and maintenance of robust ETL pipelines for data ingestion and transformation.
- Cloud platform expertise: Good exposure with AWS services for data storage, processing, and orchestration.
- Data modeling and architecture: Design scalable data models and ensure data integrity across systems.
- Programming proficiency: Advanced skills in Python for data processing and automation.
- Data quality and governance: Implement best practices for data validation, lineage, and compliance with regulatory standards.
- Minimum of five years' experience in data analytics, programming, database administration, or data management. Undergraduate degree or equivalent combination of training and experience.
Desirable Skills / Knowledge / Experience
- Advanced knowledge of data engineering principles, including data warehousing and data lakes.
- Proficiency in AWS cloud services (e.g., S3, Redshift, Glue, EMR, Lambda) for data storage, processing, and orchestration.
- Exposure to machine learning pipelines and integration with data engineering workflows.
Data Engineer in Manchester employer: Stackstudio Digital Ltd.
Contact Detail:
Stackstudio Digital Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Manchester
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering field. You never know who might have a lead on your dream job!
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving ETL processes or cloud services like AWS. Having tangible examples of your work can really set you apart when chatting with potential employers.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python skills and understanding data modelling principles. Practice common interview questions and be ready to explain your thought process clearly – it’s all about showing how you think!
✨Apply Through Us!
Don’t forget to check out our website for the latest Data Engineer openings. Applying directly through us not only gives you access to exclusive roles but also shows your commitment to joining our team!
We think you need these skills to ace Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Engineer role. Highlight your experience with ETL processes, cloud platforms like AWS, and any relevant programming skills in Python. We want to see how your background aligns with what we're looking for!
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 can help us at StudySmarter. Be sure to mention specific projects or experiences that showcase your expertise.
Showcase Your Technical Skills: When filling out your application, don’t hold back on your technical skills! Detail your experience with data pipelines, data modelling, and any tools you've used. We love seeing candidates who can demonstrate their knowledge and problem-solving abilities.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Stackstudio Digital Ltd.
✨Know Your ETL Inside Out
Make sure you can confidently discuss your experience with ETL processes. Be ready to explain how you've designed and maintained robust pipelines, and share specific examples of challenges you've faced and how you overcame them.
✨Show Off Your Cloud Skills
Since the role requires expertise in AWS services, brush up on your knowledge of tools like S3, Redshift, and Glue. Prepare to discuss how you've used these services in past projects and be ready to answer technical questions about their functionalities.
✨Demonstrate Data Quality Awareness
Be prepared to talk about best practices for data validation and governance. Share examples of how you've ensured data integrity and compliance in your previous roles, as this will show your understanding of the importance of data quality.
✨Engage with Business Needs
Highlight your ability to partner with internal clients to understand their informational needs. Prepare to discuss how you've translated business specifications into technical solutions, showcasing your communication skills and ability to bridge the gap between tech and business.
