At a Glance
- Tasks: Architect and optimise data pipelines for B2B services and financial initiatives.
- Company: Leading firm in financial services with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cutting-edge technology.
- Why this job: Join a dynamic team to shape the future of data in finance.
- Qualifications: 7+ years in Data Engineering with strong Python and SQL skills.
The predicted salary is between 63000 - 77000 £ per year.
- Data Engineer
- Sr AWS Data Engineer, Malvern, PA, US
- Data Engineer
Medallion Architecture. Infrastructure
Cloud Formation/Terraform, CI/CD with Git Hub Actions.
Core
Responsibilities: Orchestrate data extraction from diverse legacy and modern sources, engineer high-performance scalable pipelines, and provide expert-level production support to ensure system reliability.
Qualifications
Bachelor’s degree in Computer Science or related field.
- Strong hands-on experience with Apache Spark and Glue.
- Proven ability to work with Python-based data pipelines.
- Experience with Git and Git Hub Actions is mandatory.
- Required Qualifications
Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline.
- 7+ years of enterprise Data Engineering experience. Strong Python development experience. Advanced SQL programming skills.
- Extensive experience with Apache Spark and Py Spark.
- Hands-on experience with AWS data services including: S3 AWS Glue Athena Lambda Step Functions Event Bridge Experience building enterprise ETL and ELT pipelines.
- Strong understanding of distributed data processing.
- Experience working with large-scale cloud data platforms. Strong knowledge of dimensional data modeling.
- Experience implementing CI/CD pipelines. Familiarity with Agile/Scrum methodologies.
- Excellent communication and stakeholder management skills.
- Preferred Qualifications
- Financial Services or Asset Management industry experience.
- Experience with Snowflake or Databricks.
- Knowledge of Apache Iceberg, Delta Lake, or Hudi.
- Experience with Airflow. Knowledge of Kafka or Kinesis streaming.
- Experience supporting AI/ML and advanced analytics platforms. AWS Professional or Specialty Certifications.
- Job Responsibilities
- We are seeking high-caliber Data Engineers to drive the B2B Service Experience and Financials initiatives.
- In this pivotal role, you will architect, implement, and optimize sophisticated data pipelines, partnering with business analysts to guarantee the seamless availability and absolute integrity of data powering our core financial engines and reporting ecosystems.
- #J-18808-Ljbffr
Sr Data Engineer in Malvern employer: Intellibee Inc
As a Microsoft 365 Copilot Engineer at our Malvern, PA location, you will join a forward-thinking team that prioritises innovation and collaboration. We offer a dynamic work culture that fosters continuous learning and professional growth, alongside competitive benefits that support your well-being. Our commitment to leveraging cutting-edge technology ensures that you will play a pivotal role in enhancing productivity and creativity across the organisation, making this an exciting opportunity for meaningful and rewarding employment.
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We think this is how you could land Sr Data Engineer in Malvern
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We think you need these skills to ace Sr Data Engineer in Malvern
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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Craft a Tailored Cover Letter:For a full-time role at Intellibee Inc, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
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.
