Senior Data Engineer
Posted on Sep 26, 2024 by CV-Library
Cambridgeshire, United Kingdom
IT
Immediate Start
£60k - £90k Annual
Full-Time
We're excited to partner with one of the UK's leading healthcare companies, a fast-growing AI-driven startup making waves in the healthcare industry. They are seeking a Senior Data Engineer to help drive innovation and scale their data infrastructure. This is an excellent opportunity for someone looking to take the next step in their career and make a meaningful impact in healthcare.
If you're passionate about leveraging data to transform healthcare and thrive in a dynamic, fast-paced environment, this is the role for you.
Key Responsibilities:
Build and Maintain Data Pipelines: Develop scalable and efficient pipelines to collect, process, and store large datasets.
Hands-on Data Work: Perform data analysis, pull data, run tests, and evaluate model components to support key initiatives.
Data Integration & Analysis: Write scripts to integrate and analyze data from various sources.
Data Strategy: Help shape and implement the company's data strategy to support future growth.
Database Performance: Monitor and optimize the performance of databases and data systems.
Big Data Technologies: Apply modern Big Data tools and frameworks to enhance data processing capabilities.Skills and Qualifications:
5+ Years of Experience as a Senior Data Engineer or Data Engineer.
Educational Background: MSc in Computer Science, Data Engineering, or a related field (PhD preferred but not essential).
Cloud Expertise: Strong knowledge and hands-on experience with Azure, AWS, and SQL databases.
Programming Skills: Proficiency in Python, C++, C#, and familiarity with Pytorch and TensorFlow.
Machine Learning Pipelines: Experience building and managing ML pipelines is highly desirable.
Agile Methodologies: Experience working in Agile environments (Scrum, Sprints, etc.).
Big Data Tools: Experience with Apache Cassandra, Spark, Kafka, or Hive is highly advantageous.
Industry Experience: Minimum of 2 years in a relevant industry, with proven expertise in designing and implementing complex data solutions.What We Offer:
Hybrid Work Setup: Flexibility with a combination of remote and office-based work in Cambridge.
Annual Bonus: Performance-based annual bonus.
Generous Leave: 25 days of holiday annually.
Private Healthcare: Comprehensive optical and dental care coverage.Join our talented team, make a real-world impact, and help shape the future of healthcare through data innovation
If you're passionate about leveraging data to transform healthcare and thrive in a dynamic, fast-paced environment, this is the role for you.
Key Responsibilities:
Build and Maintain Data Pipelines: Develop scalable and efficient pipelines to collect, process, and store large datasets.
Hands-on Data Work: Perform data analysis, pull data, run tests, and evaluate model components to support key initiatives.
Data Integration & Analysis: Write scripts to integrate and analyze data from various sources.
Data Strategy: Help shape and implement the company's data strategy to support future growth.
Database Performance: Monitor and optimize the performance of databases and data systems.
Big Data Technologies: Apply modern Big Data tools and frameworks to enhance data processing capabilities.Skills and Qualifications:
5+ Years of Experience as a Senior Data Engineer or Data Engineer.
Educational Background: MSc in Computer Science, Data Engineering, or a related field (PhD preferred but not essential).
Cloud Expertise: Strong knowledge and hands-on experience with Azure, AWS, and SQL databases.
Programming Skills: Proficiency in Python, C++, C#, and familiarity with Pytorch and TensorFlow.
Machine Learning Pipelines: Experience building and managing ML pipelines is highly desirable.
Agile Methodologies: Experience working in Agile environments (Scrum, Sprints, etc.).
Big Data Tools: Experience with Apache Cassandra, Spark, Kafka, or Hive is highly advantageous.
Industry Experience: Minimum of 2 years in a relevant industry, with proven expertise in designing and implementing complex data solutions.What We Offer:
Hybrid Work Setup: Flexibility with a combination of remote and office-based work in Cambridge.
Annual Bonus: Performance-based annual bonus.
Generous Leave: 25 days of holiday annually.
Private Healthcare: Comprehensive optical and dental care coverage.Join our talented team, make a real-world impact, and help shape the future of healthcare through data innovation
Reference: 222384563
https://jobs.careeraddict.com/post/95583433
Senior Data Engineer
Posted on Sep 26, 2024 by CV-Library
Cambridgeshire, United Kingdom
IT
Immediate Start
£60k - £90k Annual
Full-Time
We're excited to partner with one of the UK's leading healthcare companies, a fast-growing AI-driven startup making waves in the healthcare industry. They are seeking a Senior Data Engineer to help drive innovation and scale their data infrastructure. This is an excellent opportunity for someone looking to take the next step in their career and make a meaningful impact in healthcare.
If you're passionate about leveraging data to transform healthcare and thrive in a dynamic, fast-paced environment, this is the role for you.
Key Responsibilities:
Build and Maintain Data Pipelines: Develop scalable and efficient pipelines to collect, process, and store large datasets.
Hands-on Data Work: Perform data analysis, pull data, run tests, and evaluate model components to support key initiatives.
Data Integration & Analysis: Write scripts to integrate and analyze data from various sources.
Data Strategy: Help shape and implement the company's data strategy to support future growth.
Database Performance: Monitor and optimize the performance of databases and data systems.
Big Data Technologies: Apply modern Big Data tools and frameworks to enhance data processing capabilities.Skills and Qualifications:
5+ Years of Experience as a Senior Data Engineer or Data Engineer.
Educational Background: MSc in Computer Science, Data Engineering, or a related field (PhD preferred but not essential).
Cloud Expertise: Strong knowledge and hands-on experience with Azure, AWS, and SQL databases.
Programming Skills: Proficiency in Python, C++, C#, and familiarity with Pytorch and TensorFlow.
Machine Learning Pipelines: Experience building and managing ML pipelines is highly desirable.
Agile Methodologies: Experience working in Agile environments (Scrum, Sprints, etc.).
Big Data Tools: Experience with Apache Cassandra, Spark, Kafka, or Hive is highly advantageous.
Industry Experience: Minimum of 2 years in a relevant industry, with proven expertise in designing and implementing complex data solutions.What We Offer:
Hybrid Work Setup: Flexibility with a combination of remote and office-based work in Cambridge.
Annual Bonus: Performance-based annual bonus.
Generous Leave: 25 days of holiday annually.
Private Healthcare: Comprehensive optical and dental care coverage.Join our talented team, make a real-world impact, and help shape the future of healthcare through data innovation
If you're passionate about leveraging data to transform healthcare and thrive in a dynamic, fast-paced environment, this is the role for you.
Key Responsibilities:
Build and Maintain Data Pipelines: Develop scalable and efficient pipelines to collect, process, and store large datasets.
Hands-on Data Work: Perform data analysis, pull data, run tests, and evaluate model components to support key initiatives.
Data Integration & Analysis: Write scripts to integrate and analyze data from various sources.
Data Strategy: Help shape and implement the company's data strategy to support future growth.
Database Performance: Monitor and optimize the performance of databases and data systems.
Big Data Technologies: Apply modern Big Data tools and frameworks to enhance data processing capabilities.Skills and Qualifications:
5+ Years of Experience as a Senior Data Engineer or Data Engineer.
Educational Background: MSc in Computer Science, Data Engineering, or a related field (PhD preferred but not essential).
Cloud Expertise: Strong knowledge and hands-on experience with Azure, AWS, and SQL databases.
Programming Skills: Proficiency in Python, C++, C#, and familiarity with Pytorch and TensorFlow.
Machine Learning Pipelines: Experience building and managing ML pipelines is highly desirable.
Agile Methodologies: Experience working in Agile environments (Scrum, Sprints, etc.).
Big Data Tools: Experience with Apache Cassandra, Spark, Kafka, or Hive is highly advantageous.
Industry Experience: Minimum of 2 years in a relevant industry, with proven expertise in designing and implementing complex data solutions.What We Offer:
Hybrid Work Setup: Flexibility with a combination of remote and office-based work in Cambridge.
Annual Bonus: Performance-based annual bonus.
Generous Leave: 25 days of holiday annually.
Private Healthcare: Comprehensive optical and dental care coverage.Join our talented team, make a real-world impact, and help shape the future of healthcare through data innovation
Reference: 222384563
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