At a Glance
- Tasks: Design and develop scalable data pipelines using Python and Databricks for enterprise communication.
- Company: Join a leading banking firm focused on innovative data solutions.
- Benefits: Competitive daily rate, hands-on experience, and collaboration with agile teams.
- Other info: On-site role with opportunities for professional growth in a dynamic environment.
- Why this job: Make an impact in the banking sector by advancing data capabilities and driving innovation.
- Qualifications: Experience with Python, Databricks, and data pipeline development required.
The predicted salary is between 63000 - 77000 £ per year.
As a Senior Data Engineer in Enterprise Platforms, you will join an agile team focused on enterprise communication data and building scalable data pipelines on the Palmos platform for regulatory controls. You will design, develop, and maintain secure, reliable, and scalable data solutions that support business controls, analytics, reporting, and AI/ML use cases across the firm. You will collaborate with domain teams, platform engineering, and operations partners to deliver high-quality curated datasets aligned to our data mesh architecture and Palmos platform standards. You will play a key role in advancing our data capabilities and driving innovation.
Job Responsibilities:
- Develop workflows and ELT data pipelines using Python, Spark/PySpark, and Databricks
- Onboard enterprise datasets into Palmos, including ingestion, transformation, and validation of data assets
- Build, test, and maintain scalable data pipelines and data architectures that support enterprise controls and analytics use cases
- Build business controls algorithms for communications data to identify anomalies
- Build data completeness and integrity controls for the pipelines
- Apply data engineering best practices for performance optimization, reliability, and maintainability
- Use SQL extensively and work with both relational and NoSQL data stores
- Partner with producers to understand data requirements and translate them into production-ready solutions
- Apply SDLC practices including CI/CD, testing, and operational monitoring to ensure pipeline stability
- Contribute to reusable frameworks and standards to accelerate onboarding and pipeline delivery
- Identify data issues, anomalies, and optimization opportunities to improve data quality and performance
- Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables, while validating outputs through peer review, automated testing, and secure coding standards; contribute learnings and reusable patterns to improve broader team effectiveness
Required Qualifications, Capabilities, and Skills:
- Hands-on experience with Databricks, Spark/PySpark, Python, and SQL
- Experience developing and maintaining data pipelines and data processing systems
- Understanding of the data lifecycle, including ingestion, transformation, storage, and consumption
- Knowledge of cloud platforms (AWS) and distributed data processing
- Experience with SDLC practices including CI/CD, testing, and deployment
- Strong problem-solving skills and ability to troubleshoot data and pipeline issues
- Ability to collaborate effectively within agile teams and across stakeholders
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices
Preferred Qualifications, Capabilities, and Skills:
- Experience with Databricks lakehouse, Databricks Genie, Delta Lake, and medallion architecture
Data Engineer in Slough employer: Evantis Consulting
Evantis Consulting is an excellent employer for Java Developers, offering a dynamic work culture that fosters collaboration and innovation within the banking tech sector. With hybrid work arrangements and a strong focus on career growth, employees are encouraged to develop their skills while contributing to high-performance projects that meet regulatory standards. The supportive environment and commitment to Agile methodologies make it a rewarding place for professionals seeking meaningful employment in financial services.
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We think this is how you could land Data Engineer in Slough
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We think you need these skills to ace Data Engineer in Slough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
