At a Glance
- Tasks: Architect and develop robust data pipelines and analytical systems.
- Company: Join a leading firm in financial services with a focus on innovation.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cutting-edge technology.
- Why this job: Make an impact by shaping data solutions that drive business success.
- Qualifications: 12+ years of Python experience and strong AWS knowledge required.
The predicted salary is between 70000 - 90000 £ per year.
2 days a week in client office, 3 days remote.
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: Ampstek
As a Senior Data Engineer at our company, you will thrive in a dynamic work environment that values innovation and collaboration. With a flexible hybrid model allowing two days in the client office and three days remote, we prioritise work-life balance while offering competitive benefits and opportunities for professional growth. Join us to be part of a forward-thinking team dedicated to building cutting-edge data solutions in the heart of the financial services sector.
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 when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with AWS, Snowflake, and Python right from the get-go. We want to see how your skills align with what we're looking for, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for the Senior Data Engineer role. Mention specific projects or experiences that relate to the responsibilities listed in the job description. It shows us you’re genuinely interested!
Be Clear and Concise:When writing your application, keep it straightforward. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate clarity!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Ampstek
✨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 Step Functions, as well as data stack technologies like Apache Iceberg and Spark. Being able to discuss your hands-on experience confidently will impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've architected and developed data pipelines in the past. Think of specific examples where you implemented robust solutions or improved performance monitoring. This will demonstrate your ability to tackle real-world challenges effectively.
✨Emphasise Collaboration
Since the role involves engaging with both business and technology teams, be ready to share experiences where you’ve successfully collaborated across departments. Highlight how you aligned technical solutions with organisational goals, as this shows you understand the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy, tools they use for metadata management, or their approach to data quality assurance. This not only shows your interest in the role but also gives you a chance to assess if the company is the right fit for you.
