Job Description

Summary:
The client is seeking a skilled and motivated Data Engineer to join our dynamic team as an integration specialist. As a Data Engineer, you will be responsible for designing, implementing, and maintaining our data infrastructure and pipelines. You will collaborate closely with our data scientists, analysts, and software engineers to ensure efficient and reliable data flows throughout the organisation.Responsibilities:

• Design, develop, and maintain scalable and efficient data pipelines and ETL processes to ingest, transform, and load data from various sources.
• Develop and implement data warehousing solutions.
• Collaborate with cross-functional teams to integrate various data sources.
• Ensure data quality and consistency across different data systems.
• Optimise data retrieval for dashboard/reporting solutions.
• Optimise data infrastructure, including data storage, data retrieval, and data processing for enhanced performance and scalability.
• Implement data quality and data governance processes to ensure accuracy, consistency, and integrity of data.
• Monitor and troubleshoot data pipelines to identify and resolve issues in a timely manner.
• Perform data profiling and analysis to identify data quality issues and propose improvements.
• Collaborate with data scientists and analysts to provide them with the necessary data sets for analysis and reporting.
• Stay up to date with emerging technologies and trends in data engineering and recommend new tools and frameworks to improve data infrastructure.
• Willingness to actively contribute to BI analytics tasks, such as creating and maintaining reports.
• This means being comfortable with hands-on work, including report development, SQL writing, and refactoring tasks.

Requirements:

• Proven experience as a Data Engineer or similar role, with a strong understanding of data modelling, data warehousing, and ETL processes.
• Proficient in SQL and experience working with relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra).
• Strong programming skills in at least one scripting language (e.g., Python) and experience with data manipulation and transformation libraries (e.g., Pandas, PySpark).
• Comfortable working with cloud-based infrastructure and services provided by Amazon Web Services (AWS)/ Azure.
• Familiarity with data pipeline orchestration tools (e.g., Apache Airflow, Luigi, Lambda) and workflow management systems.
• Experience with real-time data streaming technologies (e.g., Apache Kafka, Apache Flink).
• Knowledge of containerisation technologies and orchestration tools (e.g., Docker, Kubernetes).
• Familiarity with machine learning concepts and frameworks.

Education:

• Preferably a bachelors degree in computer science, engineering, or a related field.
• Certifications (AWS, GCP, Azure, Microsoft) a plus.

Ready to grow ? Apply now and become a vital part of an innovative team, shaping the future of agricultural technology. We can't wait to see what you'll bring to the table!

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