Data Engineer 70k

Birmingham
1 year ago
Applications closed

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Data Scientist, Machine Learning Engineer, Data Analyst, Data Engineer, AI Engineer, Business Intelligence Analyst, Data Architect, Analytics Engineer, Research Data Scientist, Statistician, Quantitative Analyst, ML Ops Engineer, Applied Scientist, Insigh

Job Title: Data Engineer

Location: Birmingham

Salary: £50,000 - £70,000 per year + Bonus

Benefits:

Private Health-care
Generous Bonus Scheme
Flexible Working Options (Remote/Hybrid)About the Role:
My client, a leading organisation in manufacturing, is seeking a skilled Data Engineer to join their growing team. This is an exciting opportunity for a data enthusiast with experience in designing, building, and optimizing data pipelines to help drive data-driven decision-making across the company.

Key Responsibilities:

Data Pipeline Development: Design, implement, and maintain robust data pipelines to support the organisation's analytic and reporting needs.
ETL Processes: Build and optimise ETL processes to ensure seamless integration of data from various sources.
Database Management: Work with relational and non-relational databases, ensuring high performance, reliability, and scalability.
Collaboration: Collaborate closely with data scientists, analysts, and business stakeholders to ensure data is clean, accessible, and actionable.
Data Quality & Security: Ensure high standards for data integrity, quality, and security throughout the data life cycle.
Cloud Technologies: Utilize cloud platforms like AWS, GCP, or Azure for data storage, processing, and deployment of data solutions.
Performance Optimisation: Monitor and optimise the performance of existing data systems, troubleshooting and resolving any data-related issues.Skills & Experience:

Proven experience as a Data Engineer, or in a similar data-focused role.
Strong proficiency in SQL and programming languages such as Python, Java, or Scala.
Experience with cloud platforms (AWS, Azure, GCP) and big data tools (e.g., Hadoop, Spark).
Knowledge of data warehousing concepts and data modelling best practices.
Familiarity with modern data orchestration tools and ETL frameworks.
Excellent communication skills, with the ability to collaborate effectively with both technical and non-technical teams.
Strong problem-solving abilities and a proactive approach to tackling challenges.Preferred Qualifications:

Experience working with real-time data processing and streaming technologies with around 5 years experience.
Familiarity with containerisation technologies like Docker and Kubernetes.
Understanding of machine learning concepts and supporting data infrastructure.Why Join My Client?

Competitive salary (£50,000 - £70,000) with performance-based bonuses.
Comprehensive private health-care plan.
Generous benefits package including flexible working options.
Dynamic and inclusive team environment.
Opportunities for career growth and professional development in an innovative, data-driven company.If you are a passionate Data Engineer with a strong background in building and optimising data systems, this could be the perfect opportunity for you! Apply now to take the next step in your career

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