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- Tasks: Join a dynamic team to build and maintain modern data platforms in financial services.
- Company: Innovative financial services company shaping the future with data.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with potential for contract extension and career advancement.
- Why this job: Make a real impact by leveraging cutting-edge tools and technologies.
- Qualifications: 10+ years in Java and Python, with strong AWS and data platform skills.
The predicted salary is between 60000 - 80000 £ per year.
Job Type - 1 year fixed term contract with an extension possibility.
Join a dynamic team shaping the future of financial services by building and maintaining modern data platforms. This role involves collaborating with business and technology partners to deliver impactful solutions, leveraging cutting-edge tools and technologies. You will contribute to the architectural design, development, and maintenance of data platforms, ensuring performance, stability, and alignment with business needs.
Key Responsibilities:
- Architect and Develop: Contribute to the platform’s architectural design and build integration, modeling, 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: 10+ years of experience in Java and Python development.
- 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: Hexaware Technologies
Contact Detail:
Hexaware Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving Java, Python, or any cloud services like AWS. Having tangible examples of your work can really set you apart from the crowd.
✨Tailor Your Approach
When you’re reaching out to potential employers, make sure to tailor your message to their needs. Highlight your experience with data platforms and how you can contribute to their specific goals. Personalisation goes a long way!
✨Apply Through Our Website
We’ve got some fantastic roles available, so don’t forget to check out our website! Applying directly through us not only shows your interest but also gives you a better chance of getting noticed by our hiring team.
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 programming expertise in Java and Python, as well as your experience with AWS services and data platforms like Snowflake.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for our team. Share specific examples of how you've built and maintained data platforms, and how you’ve collaborated with business and tech teams to deliver impactful solutions.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with tools like Apache Airflow or DBT, and any familiarity with metadata management tools. We want to see how your technical background aligns with our needs!
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 about the hiring process.
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. Brush up on your Java and Python knowledge, and be ready to discuss your experience with AWS services and data platforms like Snowflake. Prepare to share specific examples of how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
During the interview, be prepared to tackle hypothetical scenarios or case studies related to data pipelines and performance monitoring. Think about how you would approach building robust data solutions and be ready to explain your thought process clearly. This will demonstrate your analytical skills and ability to think on your feet.
✨Highlight Collaboration Experience
Since this role involves working closely with business and technology teams, come equipped with examples of successful collaborations from your previous roles. Discuss how you’ve aligned technical solutions with business goals and how you’ve navigated challenges in team settings. This shows you’re not just a tech whiz but also a team player.
✨Prepare Questions That Matter
At the end of the interview, you’ll likely have the chance to ask questions. Use this opportunity to inquire about the company’s data strategy, the tools they use, or how they measure success in their data initiatives. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.