At a Glance
- Tasks: Architect and develop data systems, implement robust data pipelines, and ensure data quality.
- Company: Join a leading financial services firm with a focus on innovation and collaboration.
- Benefits: Enjoy a competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Work with cutting-edge technologies and be part of a supportive team.
- Why this job: Make a real impact by shaping data solutions in a dynamic environment.
- Qualifications: 12+ years of Python experience and strong AWS knowledge required.
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 platform’s 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 (FalconSmartIT)
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 culture that values teamwork and aligns with organisational goals, making a meaningful impact in the financial services sector.
Contact Details:
Falcon Smart IT (FalconSmartIT) Recruitment Team
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 or even referrals.
✨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 quality tools. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your expertise in AWS, Snowflake, and Python, and don’t forget to mention any relevant projects you've worked on!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your background aligns with our needs. Be specific about your experience with data pipelines and metadata management.
Showcase Your Technical Skills:We love seeing your technical prowess! Make sure to include any hands-on experience you have with tools like Apache Airflow or AWS Glue. If you've worked with data quality assurance tools, give them a shout-out too!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Falcon Smart IT (FalconSmartIT)
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS, Snowflake, and Python. Brush up on your knowledge of specific services like Lambda and ECS, and be ready to discuss how you've used them in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Data Pipeline Experience
Prepare examples of robust data pipelines you've implemented or maintained. Be ready to explain the challenges you faced and how you ensured data quality and performance. This will demonstrate your hands-on experience and problem-solving skills in real-world scenarios.
✨Collaboration is Key
Highlight your experience working with both business and technology teams. Share specific instances where you aligned technical solutions with organisational goals. This shows that you understand the importance of collaboration in achieving successful outcomes.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data architecture and future projects. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. It’s a two-way street, after all!
