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For Companies At a Glance
- Tasks: Build and maintain data stacks, develop ETL pipelines, and ensure data quality.
- Company: Join a forward-thinking company focused on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make an impact by optimising data processes and championing data quality.
- Qualifications: Experience with Azure data stack, SQL, and strong analytical skills required.
- Other info: Dynamic role with opportunities to travel and engage with cross-functional teams.
The predicted salary is between 36000 - 60000 £ per year.
Responsibilities
- Build and maintain the configuration of the data stack within the DevOps framework.
- Develop data objects and write code in and around the data stack.
- Interact with upstream and downstream systems and API for data ingestion and egestion.
- Build ETL pipelines and data framework for monitoring the pipeline.
- Ensure performance, quality and consistency in the data and processes.
- Champion good data design practices and promote data quality.
- Collaborate and contribute with data architecture, DBAs and other team members.
- Review use cases, data demand, envision future demands to develop data services to support business needs.
- Explore new ways of improving data utilization/consumption, discovery, and lineage.
- Develop and champion data principles and define/lead efforts for adoption.
- Develop tools and functions for cross-system data quality and data cleansing.
- Implement data quality metric rules against data assets.
- Create and maintain data quality dashboards.
- Establish and develop robust data quality checking and validation and facilitate continuous checks improvement.
- Contribute to implementing new techniques and strategies that will support the achievement of longer-term ambitions.
- Support and lead the various work streams as required for the delivery of the V.Group Innovation strategy and agenda.
- Attend other V.Group management offices as required.
- Any other tasks as required.
Qualifications
- You will be experienced working with the Azure data stack, building data pipelines, data warehouses/lakes and performance optimization.
- You will have strong experience in Microsoft Azure data stack and SQL server, ETL; SSIS and Data Factory.
- Stack design and performance optimization.
- Data programming languages: SQL, Spark, C#, Python.
- The right candidate will have good attention to detail, deep understanding of data best practices, strong analytical skills, communication, and user engagement skills.
- Experience in data development.
- Strong data background.
- Ability to influence cross-functional teams without formal authority.
- Strong problem-solving skills along with excellent verbal and written communication skills.
- Bulk data manipulation and import procedures.
- Knowledge of cross-business data will be a strong advantage.
- Self-motivated for planning and executing tasks and projects.
- Willing to travel in support of business requirements.
Data Engineer in Glasgow employer: Oceanic Catering
Contact Detail:
Oceanic Catering Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Glasgow
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure data stack, ETL pipelines, and data quality dashboards. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when building data frameworks or optimising performance – it’s all about demonstrating your expertise!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented data engineers. Make sure your application stands out by tailoring it to highlight your experience with SQL, Spark, and data best practices.
We think you need these skills to ace Data Engineer in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with the Azure data stack, ETL processes, and any relevant programming languages like SQL or Python. We want to see how your skills match 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 you can contribute to our team. Don't forget to mention specific projects or experiences that relate to the job description.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's building data pipelines or optimising performance, we love seeing real-world examples of your work and how you tackle challenges.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining StudySmarter!
How to prepare for a job interview at Oceanic Catering
✨Know Your Data Stack Inside Out
Make sure you’re well-versed in the Azure data stack and SQL server. Brush up on your ETL processes, especially SSIS and Data Factory, as these will likely come up in conversation. Being able to discuss your past experiences with building data pipelines and optimising performance will show that you’re the right fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled data challenges in the past. Think about times when you had to influence cross-functional teams or implement new techniques. This will demonstrate your analytical skills and ability to think critically under pressure.
✨Communicate Clearly and Effectively
Since strong communication skills are key for this role, practice explaining complex data concepts in simple terms. Be ready to discuss how you’ve engaged users and collaborated with team members in previous projects. Clear communication can set you apart from other candidates.
✨Emphasise Your Attention to Detail
Data quality is crucial, so be prepared to talk about how you ensure accuracy and consistency in your work. Discuss any tools or methods you’ve used for data cleansing and validation. Highlighting your meticulous nature will resonate well with the interviewers.