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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 the 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 optimising 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.
