At a Glance
- Tasks: Architect and develop data systems, implement robust data pipelines, and ensure data quality.
- Company: Leading financial services firm with a focus on innovation and technology.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cutting-edge data technologies.
- Why this job: Join a dynamic team and shape the future of data in finance.
- Qualifications: 12+ years in Python, strong AWS knowledge, and experience with Snowflake.
The predicted salary is between 60750 - 74250 £ 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, Event Bridge, Athena, and similar services.
- Metadata Tools: Experience with tools like Amundsen, Atlas, Data Hub, Open Data Discovery, or Marquez.
- RDBMS: Knowledge of Postgre SQL is a plus.
- Industry Experience: Proven experience building enterprise-wide data and analytics systems, preferably in financial services or asset management.
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Senior Data Engineer employer: Falcon Smart IT (FalconSmartIT)
Falcon Smart IT is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, we provide opportunities for professional development through cutting-edge projects and the latest technologies, ensuring our team members thrive in their careers. Enjoy the unique advantage of a flexible work schedule with four days in-office, allowing for a balanced work-life experience while contributing to impactful solutions in the tech industry.
Contact Details:
Falcon Smart IT (FalconSmartIT) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tap into Online Data Science Communities
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We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Falcon Smart IT (FalconSmartIT), make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Falcon Smart IT (FalconSmartIT), emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Falcon Smart IT (FalconSmartIT)’s attention and show the tangible impact of your work.
How to prepare for a job interview at Falcon Smart IT (FalconSmartIT)
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Falcon Smart IT (FalconSmartIT).
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Falcon Smart IT (FalconSmartIT).
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Falcon Smart IT (FalconSmartIT).
