At a Glance
- Tasks: Architect and develop robust data pipelines and analytical systems.
- Company: Join a leading financial services firm with a hybrid work culture.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and drive innovation in data management.
- Why this job: Make an impact by shaping data solutions in a dynamic environment.
- Qualifications: 12+ years in Python, AWS expertise, and experience with Snowflake.
The predicted salary is between 70000 - 90000 £ per year.
Job Location: London, UK/Hybrid - 2 days Onsite and 3 Days Remote
Job Type: FTC - 1 Year
Mandatory Skillsets: AWS + Snowflake + Python
Key Responsibilities:
- Architect and Develop: Contribute to the platforms architectural design and build integration, modelling, data persistence, and analytical systems.
- Data Pipelines: Implement, maintain, and test robust data pipelines.
- Metadata Management: Develop and manage metadata processes and tools.
- Performance Monitoring: Ensure the stability and performance of data pipelines.
- Data Quality: Implement tools for data curation, metadata management, and quality assurance.
- Collaboration: Engage with business and technology teams to align the platform with organizational goals.
Preferred Technical Skills:
- Programming: 12+ years of experience in Python.
- Cloud Expertise: Strong understanding of AWS services (e.g., Lambda, Step Functions, ECS).
- Data Platforms: Hands-on experience with Snowflake and data stack technologies like Apache Iceberg and Spark.
- Workflow Orchestration: Exposure to tools like Apache Airflow, Prefect, Dagster, or DBT.
- Data Services: Familiarity with AWS Glue, Lake Formation, EMR, EventBridge, Athena, and similar services.
- Metadata Tools: Experience with tools like Amundsen, Atlas, DataHub, OpenDataDiscovery, or Marquez.
- RDBMS: Knowledge of PostgreSQL is a plus.
Industry Experience: Proven experience building enterprise-wide data and analytics systems, preferably in financial services or asset management.
Senior Data Engineer employer: Falcon Smart IT Limited
As a Senior Data Engineer at our London-based company, you will thrive in a dynamic hybrid work environment that promotes collaboration and innovation. We offer competitive benefits, a strong focus on employee development, and opportunities to work with cutting-edge technologies like AWS and Snowflake, ensuring your skills are continuously enhanced. Join us to be part of a supportive culture that values your contributions and fosters meaningful career growth in the heart of one of the world's leading financial hubs.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AWS and Snowflake. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and data pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with AWS services and data platforms like Snowflake. We recommend practicing common interview questions related to data engineering.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS, Snowflake, and Python. 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 passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:Don’t forget to mention your hands-on experience with data platforms and workflow orchestration tools. We’re looking for someone who can hit the ground running, so highlight any relevant projects or technologies you've worked with.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Falcon Smart IT Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS, Snowflake, and Python. Brush up on your knowledge of data pipelines and metadata management tools. Be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in data engineering. Think about times when you improved data quality or optimised performance. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Understand the Business Context
Research the company’s goals and how their data strategy aligns with them. Be prepared to discuss how your work as a Senior Data Engineer can support their objectives, especially in financial services or asset management.
✨Engage and Collaborate
Demonstrate your ability to work with cross-functional teams. Prepare to talk about how you’ve collaborated with both technical and business stakeholders in the past. Highlight your communication skills and how they’ve helped align projects with organisational goals.
