Senior Data Engineer

at  LGC Group

Company Description
LGC is a leading, global life science tools company, providing mission-critical components and solutions into high-growth application areas across the human healthcare and applied market segments. Its high-quality product portfolio is comprised of mission-critical tools for genomic analysis and for quality assurance applications, which are typically embedded and recurring within our customers’ products and workflows and are valued for their performance, quality, and range.
Job Description

JOIN OUR TEAM AS A SENIOR DATA ENGINEER!

Are you passionate about making a difference through data? We are looking for someone who thrives in innovative environments and have a great opportunity for a Senior Data Engineer to join our central Group Data & Analytics team!
In this role, you will design and develop innovative processes for acquiring data from diverse sources, such as APIs and streaming. You will optimize our Enterprise Data Platform to meet evolving business needs and leverage AI and Machine Learning innovations within our central data platform.
Additionally, you will create data models and metadata systems to enhance data consumer productivity and conduct data and process discovery on source systems to improve data acquisition processes. Ensuring that technical implementations perform against agreed performance metrics and recommending new analytical tools to align with our analytics strategy will also be part of your responsibilities. Moreover, you will research and introduce emerging technologies to benefit the organization, maintain CI/CD pipelines, and champion DataOps.
Qualifications

QUALIFICATIONS:

• Degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
• Extensive experience with SQL, DBT, and Snowflake.
• Advanced proficiency in Python for developing applications and data pipelines.
• Experience in hybrid cloud-enabled end-to-end data architecture.
• Strong knowledge of analytical model design and development.
• Excellent communication skills for discussing business processes with non-technical users.
• Ability to multitask and deliver high-quality outputs in a dynamic environment.
• Passion for transforming large, complex data sets into actionable information.
• Deep understanding of enterprise data architecture principles.

DESIRABLE SKILLS:

• Experience implementing Data Vault 2.0 on Snowflake.
• Passion for AI and exploring its potential in corporate and life sciences.
• Experience with AWS/Azure platforms for Data & Analytics.
• Why Join Us? You will be part of an innovative team at the forefront of data and analytics, working on impactful projects that drive business success. Enjoy a collaborative, supportive, and dynamic work environment with opportunities for continuous learning and professional growth.If you’re ready to make an impact and advance your career as a Senior Data Engineer, Apply now
  Additional Information

Please refer the Job description for details