About Company
Are you driven by the challenge of building robust, scalable data infrastructure? At Career.zycto, we’re dedicated to leveraging cutting-edge technology to transform complex data into actionable insights, driving significant business value. We empower our team members to innovate, experiment, and grow within a collaborative environment where your contributions directly impact our strategic direction. For a Data Pipeline Engineer, this means unparalleled opportunities to design, implement, and optimize the very backbone of our data ecosystem, working alongside passionate experts who champion continuous learning and technical excellence. Join us and shape the future of data.
Job Description
Career.zycto is actively seeking a highly skilled and passionate Data Pipeline Engineer to join our innovative team in Prescot, Liverpool. In this crucial role, you will be at the forefront of designing, building, and maintaining robust, scalable, and efficient data pipelines that power our analytical capabilities and business intelligence. We are looking for an individual who thrives on solving complex data challenges, possesses a strong understanding of data warehousing principles, and is adept at working with large datasets.
As a Data Pipeline Engineer, you will be instrumental in transforming raw data into refined, accessible information, enabling various departments to make data-driven decisions. Your expertise will directly influence the integrity, performance, and accessibility of our data infrastructure. This is an exciting opportunity to contribute to a growing organization where your technical contributions are highly valued and directly impact our success. You will collaborate closely with data scientists, analysts, and other engineering teams to understand data requirements and translate them into efficient data solutions. We offer a dynamic work environment where continuous learning and professional development are encouraged, allowing you to expand your skill set with emerging technologies and best practices in data engineering. If you are passionate about data, meticulous in your approach, and eager to make a significant impact, we encourage you to apply.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines using modern data engineering tools and technologies.
- Implement data quality checks and monitoring to ensure the accuracy, completeness, and reliability of data across all systems.
- Optimize existing data pipelines for performance, cost-efficiency, and scalability.
- Collaborate with data scientists, analysts, and software engineers to understand data needs and deliver appropriate data solutions.
- Manage and improve data warehousing solutions, ensuring data integrity and accessibility.
- Troubleshoot and resolve issues in data pipelines and data processing systems.
- Develop and maintain comprehensive documentation for data pipelines, data models, and data flow processes.
- Participate in code reviews to ensure high-quality code and adherence to best practices.
Required Skills
- Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL).
- Expertise in at least one programming language (e.g., Python, Scala, Java) for data manipulation and scripting.
- Experience with cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Azure Synapse Analytics).
- Demonstrable experience with ETL/ELT tools and data warehousing concepts.
- Familiarity with data orchestration tools (e.g., Apache Airflow, Luigi).
- Solid understanding of data modeling, data structures, and database design.
- Problem-solving skills and ability to work independently or as part of a team.
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- Experience with big data technologies (e.g., Spark, Hadoop).
- Familiarity with real-time data streaming technologies (e.g., Kafka, Kinesis).
- Knowledge of data governance and security best practices.
- Experience with containerization (Docker, Kubernetes).
- Exposure to CI/CD pipelines for data engineering workflows.
Perks & Benefits
- Competitive salary and comprehensive benefits package.
- Generous annual leave and public holidays.
- Opportunities for professional development and continuous learning.
- Collaborative and supportive work environment.
- Modern office facilities in Prescot, Liverpool.
- Company-sponsored social events and team-building activities.
- Pension scheme.
How to Apply
Interested candidates are encouraged to submit their application by clicking the link below. Please ensure your resume highlights your experience with data pipeline development, SQL, and relevant programming languages. We look forward to reviewing your application and exploring how your skills can contribute to our team.
