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- Tasks: Design and build scalable, cloud-first data platforms for innovation and decision-making.
- Company: Leading organisation in financial services with a focus on data-driven solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting projects with advanced analytics and AI initiatives await you!
- Why this job: Join a dynamic team to shape the future of data in a highly regulated environment.
- Qualifications: Degree in IT or related field, strong SQL and Python skills required.
The predicted salary is between 50000 - 70000 £ per year.
Lynx Recruitment is supporting a leading organisation within financial services searching for a Data Engineer to design and build scalable, cloud-first data platforms that drive innovation and data-led decision-making. You will work across the full data lifecycle engineering secure, high-performance pipelines and modern data platforms that enable analytics, AI, and enterprise insights.
Key Responsibilities
- Build and optimise ETL/ELT pipelines
- Design and manage data warehouses, lakes, and cloud-native platforms
- Implement monitoring, governance, security, and regulatory compliance frameworks
- Deliver high-quality datasets to analytics and business teams
- Support AI and advanced analytics initiatives
Requirements
- Degree in IT, Computer Science, Software Engineering, or related field (minimum 2:1 classification)
- Strong SQL & Python
- Hands-on ETL/ELT experience (e.g., Matillion, Talend, Fivetran, ADF)
- Experience with Snowflake (AWS/Azure/GCP beneficial)
- Strong data modelling knowledge
- Understanding of data governance and security best practices
- Ability to translate business needs into scalable solutions
Desirable
- Airflow, dbt, Kafka, CI/CD, BI tools, governance platforms, financial services experience.
Interested in building modern, enterprise-scale data platforms in a highly regulated environment? Apply now!
Data Engineer in Victoria employer: Lynx Recruitment Limited
Contact Detail:
Lynx Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Victoria
✨Tip Number 1
Network like a pro! Reach out to people in the financial services sector, especially those working as Data Engineers. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL/ELT projects, data pipelines, and any cool stuff you've built with SQL and Python. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with tools like Snowflake, Matillion, or Airflow. We want to see how you can tackle real-world problems!
✨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 Data Engineer in Victoria
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, Python, and any ETL tools you've used. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include any relevant projects or experiences that demonstrate your ability to design and build scalable data platforms. We love seeing real examples of your work, especially if they relate to analytics or AI.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a straightforward approach that gets right to the good stuff!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Lynx Recruitment Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in SQL and Python, as these are crucial for the role. Brush up on your ETL/ELT tools like Matillion or Talend, and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in data engineering. Think about times when you had to design scalable solutions or optimise data pipelines, and be ready to explain your thought process.
✨Understand the Business Context
It’s not just about the tech; you need to show that you can translate business needs into data solutions. Familiarise yourself with the financial services sector and think about how data-driven decisions can impact the business.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data strategy, governance practices, and how they support AI initiatives. This shows your genuine interest and helps you assess if it’s the right fit for you.