At a Glance
- Tasks: Create and optimise databases, build ETL processes, and develop data visualisations.
- Company: Join an ambitious team in a dynamic tech environment in Cork, Ireland.
- Benefits: Competitive contract pay, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by delivering innovative data solutions and shaping the future of analytics.
- Qualifications: Proficiency in SQL, ETL, Tableau, and Python; cloud experience is a plus.
- Other info: Exciting opportunity to work with cutting-edge technologies and advance your career.
The predicted salary is between 48000 - 72000 £ per year.
Contract Opportunity in Cork, Ireland
Key Skills and Expertise
- SQL: Demonstrated capability creating, optimizing, and managing databases and queries for actionable insights.
- ETL: Experience in building and maintaining Extract, Transform, and Load processes for efficient data flow.
- Tableau: A MUST-HAVE skill for creating compelling data visualizations and dashboards to support decision-making.
- Snowflake/AWS Redshift: Experience with cloud-based data warehouses for scalable and secure data storage.
- Python: Strong programming skills for automating data analytics and solving complex problems.
- AWS Sagemaker (Desirable): Familiarity with building and deploying machine learning models is advantageous.
If you’re passionate about delivering innovative data solutions and want to be part of an ambitious team, this role could be your perfect match!
Apply Now. Don’t miss this exciting opportunity to contribute your expertise as a Senior Data & Analytics Engineer. Apply today to join our client’s team in shaping the future of data and analytics!
Senior Data & Analytics Engineer employer: Computer Futures / SThree Group
Contact Detail:
Computer Futures / SThree Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data & Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and analytics field. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries, ETL processes, and Tableau dashboards. This is your chance to demonstrate what you can do beyond just words on a CV. We love seeing real examples of your work!
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Python, Snowflake, and AWS Redshift. Practice explaining your thought process while solving problems. We want to see how you think, not just what you know!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals ready to make an impact in the data world. So, hit that apply button!
We think you need these skills to ace Senior Data & Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL, ETL, and Tableau skills. We want to see how your experience aligns with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data solutions and how your background makes you a great fit for our team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any cool data visualisations or analytics projects, include them in your application. We love seeing real examples of your work, especially with tools like Tableau and Python!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our ambitious team!
How to prepare for a job interview at Computer Futures / SThree Group
✨Master the Technical Skills
Make sure you brush up on your SQL, ETL processes, and Tableau skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Abilities
Prepare to talk about complex problems you've solved using Python or cloud-based data warehouses like Snowflake or AWS Redshift. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Visualisation is Key
Since Tableau is a must-have skill, be prepared to discuss your experience in creating data visualisations. If possible, bring along examples of dashboards you've built that had a significant impact on decision-making.
✨Express Your Passion for Data Solutions
Let your enthusiasm for innovative data solutions shine through during the interview. Share your thoughts on current trends in data analytics and how you see yourself contributing to the team’s goals and ambitions.