Hybrid Data Engineer: Databricks Pipelines & PySpark in Swansea
Hybrid Data Engineer: Databricks Pipelines & PySpark

Hybrid Data Engineer: Databricks Pipelines & PySpark in Swansea

Swansea Full-Time 30000 - 50000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Develop and maintain Databricks pipelines while ensuring data quality.
  • Company: Leading tech consulting firm with a supportive community culture.
  • Benefits: Comprehensive benefits, career growth opportunities, and hybrid work setup.
  • Why this job: Join a dynamic team and make an impact in data engineering.
  • Qualifications: Experience with SQL, Python, and PySpark is essential.
  • Other info: Collaborate with cross-functional teams in a vibrant work environment.

The predicted salary is between 30000 - 50000 £ per year.

A leading tech consulting firm is seeking a Data Engineer to develop and maintain Databricks pipelines in a hybrid work setup in Swansea. The successful candidate will utilize SQL, Python, and PySpark while ensuring data quality and reliability.

Responsibilities include:

  • Troubleshooting data issues
  • Collaborating with cross-functional teams to align data practices

This role offers opportunities for career growth and comprehensive benefits, as well as a supportive community culture.

Hybrid Data Engineer: Databricks Pipelines & PySpark in Swansea employer: Women In Tech

Join a leading tech consulting firm in Swansea, where innovation meets collaboration. We offer a hybrid work environment that fosters a supportive community culture, comprehensive benefits, and ample opportunities for career growth. As a Data Engineer, you'll be part of a dynamic team dedicated to ensuring data quality and reliability while working with cutting-edge technologies.
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Contact Detail:

Women In Tech Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Hybrid Data Engineer: Databricks Pipelines & PySpark in Swansea

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your Databricks pipelines and PySpark projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for the interview by brushing up on SQL and Python. We recommend practicing common data engineering scenarios and troubleshooting techniques to demonstrate your problem-solving skills.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Hybrid Data Engineer: Databricks Pipelines & PySpark in Swansea

Databricks
SQL
Python
PySpark
Data Quality Assurance
Troubleshooting
Collaboration
Cross-Functional Teamwork
Data Reliability
Hybrid Work Setup

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Databricks, SQL, and PySpark. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to our team. We love seeing genuine enthusiasm and a bit of personality.

Showcase Problem-Solving Skills: Since troubleshooting data issues is key in this role, share examples of how you've tackled similar challenges in the past. We appreciate candidates who can think critically and adapt to new situations.

Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible while joining our supportive community!

How to prepare for a job interview at Women In Tech

✨Know Your Tech Stack

Make sure you’re well-versed in SQL, Python, and PySpark. Brush up on your knowledge of Databricks pipelines, as you might be asked to discuss how you’ve used these technologies in past projects. Being able to share specific examples will show your expertise.

✨Showcase Problem-Solving Skills

Prepare to discuss how you've tackled data issues in the past. Think of a couple of scenarios where you identified a problem, what steps you took to troubleshoot it, and the outcome. This will demonstrate your analytical skills and ability to work under pressure.

✨Collaboration is Key

Since this role involves working with cross-functional teams, be ready to talk about your experience collaborating with others. Highlight any projects where teamwork was essential, and explain how you ensured alignment in data practices. This shows you’re a team player!

✨Embrace the Culture

Research the company’s culture and values. Be prepared to discuss why you’re excited about joining a supportive community. Showing that you align with their culture can set you apart from other candidates and demonstrate your long-term commitment.

Hybrid Data Engineer: Databricks Pipelines & PySpark in Swansea
Women In Tech
Location: Swansea
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  • Hybrid Data Engineer: Databricks Pipelines & PySpark in Swansea

    Swansea
    Full-Time
    30000 - 50000 £ / year (est.)
  • W

    Women In Tech

    50-100
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