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- Tasks: Build and maintain a cutting-edge data platform for financial services.
- Company: Join a forward-thinking firm transforming client investment experiences.
- Benefits: Competitive salary, learning opportunities, and a collaborative culture.
- Why this job: Make a real impact in finance while working with talented professionals.
- Qualifications: 8+ years in IT, strong Snowflake and Python skills required.
- Other info: Dynamic role with opportunities for growth and innovation.
The predicted salary is between 70000 - 90000 £ per year.
A key role in helping build the future of financial services, working together with business partners to create client experiences that are changing the way people invest. You will work with smart, talented people across our business. We will expect you to be agile and to think outside the box. In return, we will give you challenging work that makes an impact and brings opportunities to learn and grow, and a collaborative culture that encourages every member of our team to bring their point of view to the table—because that is how we help our clients succeed.
You will be an individual contributor on the Analytics and Data Platform engineering team responsible for architecting, building, testing, and maintaining the data platform. You will be responsible for:
- Contributing to the platform’s architectural design
- Development and testing of the integration, modelling, data persistence and querying tools and analytical systems
- Data pipeline implementation, maintenance and testing
- Metadata management processes and tools
- Monitoring the overall performance and stability of the pipelines
- Implementing data curation, metadata management and data quality tooling
- Engaging with our business and technology partners to ensure that the platform fully meets the firm’s needs
Primary Technical experience/skills
- 8+ years of IT experience
- Snowflake Data Engineer with Python
- Strong understanding of AWS ecosystems like Lambdas, step functions, and ECS services
- Practical experience with Snowflake is required
- Advanced SQL skills
- Experience building modern enterprise-wide data and analytics systems in a financial services organization with an understanding of the asset management business and/or financial markets
Nice to Have:
- Experience with data stack technologies, such as Apache Iceberg & Spark
- Exposure to Apache Airflow, Prefect, Dagster, DBT
- Expertise in data analysis with exposure to data services (such as Glue, Lake Formation, EMR, EventBridge, Athena, etc.) & metadata management tools (such as Amundsen, Atlas, DataHub, OpenDataDiscovery, Marquez, etc.)
- Experience on RDBMS like PostgreSQL would be a plus
Senior Data Engineer in Slough employer: Hexaware Technologies
Contact Detail:
Hexaware Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the hunt for a Senior Data Engineer role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Snowflake, Python, and AWS. This will give potential employers a taste of what you can bring to the table and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with data pipelines and analytics systems, as well as how you've tackled challenges in previous roles. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it gives you a chance to showcase your enthusiasm for building the future of financial services with us.
We think you need these skills to ace Senior Data Engineer in Slough
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 experience with Snowflake, Python, and AWS ecosystems, as these are key to what we’re looking for.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about financial services and how your background makes you a great fit. Don’t just repeat your CV; give us insights into your thought process and problem-solving skills.
Showcase Your Projects: If you've worked on relevant projects, whether in a professional or personal capacity, make sure to mention them. We love seeing practical examples of your work, especially those involving data pipelines and analytics systems.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Hexaware Technologies
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical skills listed in the job description, especially Snowflake and Python. Brush up on your AWS knowledge too, as they’ll likely ask you about Lambdas and ECS services. Being able to discuss your past projects and how you’ve used these technologies will show you’re the right fit.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. This role requires thinking outside the box, so be ready to share examples of innovative solutions you've implemented in data engineering or analytics systems.
✨Engage with Business Needs
Since this position involves working closely with business partners, demonstrate your understanding of how data impacts client experiences. Be prepared to discuss how you’ve collaborated with non-technical teams in the past to ensure that data solutions meet business objectives.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the team’s current projects, the company’s approach to data quality, or how they envision the future of their data platform. This shows your genuine interest and helps you assess if the company culture aligns with your values.