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For Companies At a Glance
- Tasks: Design and optimise data pipelines using Databricks, Python, and Spark.
- Company: Join a leading financial services firm with a focus on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make an impact in data engineering while collaborating with top professionals.
- Qualifications: Experience in data pipelines, strong Python skills, and knowledge of ETL concepts.
- Other info: Dynamic role with potential for career advancement in a supportive environment.
The predicted salary is between 72000 - 108000 £ per year.
Responsibilities
- Design, build, and optimize data pipelines and transformation workflows on Databricks, leveraging Python and Spark.
- Collaborate with Data Architects and Business Analysts to develop robust data models and clearly document data flows and ETL logic.
- Implement and execute data quality checks and validation modules using Python.
- Maintain transparency and accountability by tracking work and progress in Jira.
- Ensure datasets and pipelines are accurately registered in relevant catalogues and consoles, meeting governance and privacy standards.
Qualifications
- Proven experience developing data pipelines and solutions on Databricks.
- Strong proficiency in Python, including libraries for data transformation (e.g., pandas).
- Solid understanding of ETL concepts, data modelling, and pipeline design.
- Experience with Spark and cloud data platforms.
- Ability to document data flows and transformation logic to a high standard.
- Familiarity with project management tools such as Jira.
- Collaborative mindset and strong communication skills.
Preferred qualifications
- Experience in financial services or large enterprise data environments.
- Knowledge of data governance, privacy, and compliance requirements.
- Exposure to business analysis and requirements gathering.
Security Services Data Modelling and Engineering - Vice President in Bournemouth employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Security Services Data Modelling and Engineering - Vice President in Bournemouth
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data pipelines and projects. This gives potential employers a taste of what you can do with Python and Spark.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Databricks, ETL processes, and how you’ve tackled data quality issues in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Security Services Data Modelling and Engineering - Vice President in Bournemouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines, Python, and Databricks. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data modelling and engineering. Let us know how your collaborative mindset and communication skills will benefit our team.
Showcase Your Technical Skills: When detailing your experience, focus on your proficiency in Python and Spark. Mention specific libraries you’ve used for data transformation, like pandas, and any successful projects that demonstrate your expertise.
Keep It Professional and Clear: Ensure your application is well-structured and free of errors. We appreciate clarity, especially when it comes to documenting data flows and ETL logic. Remember, first impressions count, so make yours count by applying through our website!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you brush up on your Python and Spark skills before the interview. Be ready to discuss specific projects where you've designed and optimised data pipelines, and don't shy away from sharing the challenges you faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since this role involves working closely with Data Architects and Business Analysts, be prepared to talk about your experience in collaborative environments. Share examples of how you've effectively communicated complex data concepts to non-technical stakeholders.
✨Document Like a Pro
Highlight your ability to document data flows and ETL logic clearly. Bring along samples or be ready to describe how you ensure transparency and accountability in your work, especially when using tools like Jira.
✨Understand Governance and Compliance
Familiarise yourself with data governance and privacy standards relevant to the financial services sector. Be ready to discuss how you've ensured compliance in past projects, as this will show your awareness of the industry's requirements.
