Hybrid SQL Developer: ETL, Azure & BI Focus in London

Hybrid SQL Developer: ETL, Azure & BI Focus in London

London Full-Time 50000 - 50000 £ / year (est.) Home office (partial)
Sivara GmbH

At a Glance

  • Tasks: Maintain and optimise SQL databases, develop T-SQL scripts, and manage ETL processes.
  • Company: Sivara GmbH, a growing data team in Greater London.
  • Benefits: Competitive salary up to £50,000, supportive team, and excellent career development.
  • Why this job: Join impactful data projects and support critical business systems.
  • Qualifications: Experience in SQL development and ETL processes.

The predicted salary is between 50000 - 50000 £ per year.

Sivara GmbH is seeking an experienced SQL Developer to join our growing data team in Greater London. This hybrid role requires maintaining and optimising SQL database systems, developing T-SQL scripts, and managing ETL processes.

We offer an exciting opportunity to support critical business systems and contribute to impactful data projects. The position comes with a supportive team environment, excellent career development prospects, and a competitive salary of up to £50,000 per year.

Hybrid SQL Developer: ETL, Azure & BI Focus in London employer: Sivara GmbH

Sivara GmbH is an excellent employer, offering a dynamic and supportive work culture that fosters collaboration and innovation within our data team in Greater London. Employees benefit from outstanding career development opportunities, competitive salaries, and the chance to work on impactful data projects that drive business success, making it a rewarding place for those looking to grow their skills in SQL development and data management.

Sivara GmbH

Contact Details:

Sivara GmbH Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid SQL Developer: ETL, Azure & BI Focus in London

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Apply Directly through Our Website

When you find a suitable opening like Hybrid SQL Developer: ETL, Azure & BI Focus at Sivara GmbH, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Hybrid SQL Developer: ETL, Azure & BI Focus in London

Communication Skills
Problem-Solving Skills
SQL
Python
Automation
Attention to Detail
Data Engineering

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Sivara GmbH, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Sivara GmbH. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Sivara GmbH

Brush Up on Your Statistics

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Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Sivara GmbH!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.