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- Tasks: Enhance data processing and design enterprise data frameworks in a collaborative team.
- Company: Join a leading financial services firm known for innovation and cutting-edge projects.
- Benefits: Enjoy a dynamic work environment with potential for permanent employment and modern office spaces.
- Why this job: Shape the future of data engineering using Azure tech in a supportive, skilled team.
- Qualifications: 7-10 years in data engineering with expertise in Azure Databricks and financial data security.
- Other info: This role offers a 12-month contract with high potential for a permanent position.
The predicted salary is between 72000 - 96000 £ per year.
This range is provided by Dynamo Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range: A$135,000.00 / yr - A$180,000.00 / yr.
Our client, a leading financial services firm, is seeking a Senior Data Engineer to join their data team. This is an opportunity to work in a fast-paced, cloud-first environment, delivering cutting-edge data solutions that drive business insights and innovation.
Why Join?
- Work in a top-tier financial services environment with exciting enterprise-scale projects.
- Beautiful offices in Collingwood, with a dynamic and collaborative culture.
- Shape the future of data engineering with a modern Azure tech stack.
- Potential for a permanent role at the end of the contract.
Key Responsibilities
- Enhance and optimize data processing for advanced analytics.
- Design and implement enterprise data lakehouse frameworks with a focus on metadata management, quality assurance, logging, and monitoring.
- Collaborate with IT Infrastructure and Security teams to deploy Terraform IaC across the organization.
- Ensure seamless integration of data engineering solutions within enterprise-wide data architecture.
- Mentor and support junior data engineers, fostering a collaborative learning culture.
What We’re Looking For
- 7-10 years of data engineering experience in complex financial services or enterprise environments.
- Strong expertise in Azure Databricks, Azure Data Factory, Synapse, Key Vault, Data Lake, and Python/PySpark.
- Deep understanding of financial data security, Azure RBAC, and governance best practices.
- Hands-on experience with Terraform Infrastructure as Code (IaC) for Azure provisioning.
- Proficiency in Azure DevOps, YAML pipelines, and SQL for data integration and analytics.
- Experience with metadata-driven frameworks, QA automation, logging, and monitoring.
- Strong problem-solving and stakeholder engagement skills.
This is an exceptional opportunity to work in a top financial services firm, leveraging the latest Azure technologies in a highly skilled, innovative team. Apply now for a confidential discussion.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Senior Data Engineer - Azure Databricks employer: Buscojobs
Contact Detail:
Buscojobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Azure Databricks
✨Tip Number 1
Familiarise yourself with the latest Azure technologies, especially Azure Databricks and Data Factory. Being able to discuss recent updates or features during your interview can demonstrate your passion and commitment to staying current in the field.
✨Tip Number 2
Showcase your experience with Terraform and Infrastructure as Code (IaC) by preparing examples of past projects where you implemented these tools. This will help you stand out as a candidate who can hit the ground running.
✨Tip Number 3
Network with professionals in the financial services sector, particularly those who work with data engineering. Engaging in conversations about industry trends can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your mentoring experiences with junior engineers. Highlighting your ability to foster a collaborative learning culture can resonate well with the hiring team, as they value teamwork and knowledge sharing.
We think you need these skills to ace Senior Data Engineer - Azure Databricks
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 7-10 years of data engineering experience, particularly in financial services. Emphasise your expertise in Azure Databricks, Azure Data Factory, and other relevant technologies mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the financial services sector. Mention specific projects or experiences that align with the responsibilities listed, such as enhancing data processing or mentoring junior engineers.
Showcase Relevant Skills: In your application, clearly outline your hands-on experience with Terraform IaC, Azure DevOps, and SQL. Use examples to demonstrate your problem-solving skills and how you've engaged with stakeholders in previous roles.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial in a data engineering role.
How to prepare for a job interview at Buscojobs
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure Databricks, Data Factory, and other relevant technologies. Bring examples of past projects where you successfully implemented these tools, as this will demonstrate your hands-on expertise.
✨Understand the Financial Services Landscape
Familiarise yourself with the specific challenges and regulations in the financial services sector. This knowledge will help you articulate how your skills can contribute to the company's goals and address their unique data needs.
✨Prepare for Problem-Solving Scenarios
Expect to encounter technical problem-solving questions during the interview. Practice explaining your thought process clearly and logically, as this will showcase your analytical skills and ability to tackle complex issues.
✨Emphasise Collaboration and Mentorship
Highlight your experience in mentoring junior engineers and collaborating with cross-functional teams. This is crucial for fostering a positive team culture and ensuring successful project outcomes, which are key aspects of the role.
