Job Title:
Python Data Engineer Location:
Cheshire (Hybrid/Remote options available) Salary:
Up to £50,000 per annum About the Company: We are working with an innovative and rapidly growing financial services business based in Cheshire, known for its forward-thinking approach and a strong commitment to leveraging data-driven insights. As part of their expansion, they are looking to bring on board a talented Python Data Engineer to help build and optimise their data infrastructure, enabling data-driven decision-making across the business. The Role: As a Python Data Engineer, you will play a crucial role in the design, development, and maintenance of robust data pipelines and systems. You’ll work closely with cross-functional teams to ensure that the data architecture is scalable, efficient, and supports the company’s ambitious growth objectives. This is a fantastic opportunity to join a dynamic team and contribute to the next stage of the business's digital transformation. Key Responsibilities: Develop and maintain Python-based data pipelines and ETL processes. Work with large datasets, ensuring data is clean, accurate, and ready for analysis. Collaborate with data scientists, analysts, and other engineers to optimise data flows and reporting. Design and implement data storage solutions that support business requirements. Ensure data quality and consistency across all platforms. Continuously monitor and improve the performance of data systems. Provide technical support and guidance on data-related projects. Required Skills & Experience: Educated to degree level in a quantitative subject or equivalent work experience. At least 2 years’ experience in a quantitative role and data analysis. Strong experience with Python and libraries such as Pandas, NumPy, and SQLAlchemy. Proven IT skills, especially with quantitative/coding tools. A real understanding of data storage technologies – proficient in SQL, and ideally have experience with NoSQL and Caching. Strong data presentation skills, with an ability to effectively communicate insights. Strong appreciation of the key elements in the development of a customer-facing organisation. Self-starter, with attention to detail, able to manage a varied and heavy workload in a fast-growing environment. Actively suggests innovation and takes initiative. Familiarity with Version Control System best practices, with experience using Git (or equivalents). Commitment to testing and understanding its importance in building reliable products. Knowledge of data integration and transformation. Excellent problem-solving skills and attention to detail. Desirable Skills & Experience: Knowledge of either the Financial Services Sector or Agricultural Sector would be beneficial. Experience with Artificial Intelligence (AI) and Machine Learning to develop forward-thinking initiatives. Experience with data hygiene and AI/ML tools to assist with data cleaning. Coding and software development skills would be a plus. Project management experience, particularly in managing projects across departments using an Agile or hybrid-Agile methodology. Experience with cloud-based platforms (AWS, Azure, Google Cloud, etc.). Familiarity with data engineering tools such as Airflow or similar. Knowledge of data security best practices. Benefits: Competitive salary up to £50,000 & Up to 8% bonus Flexible working options (Hybrid or remote working). Excellent professional development opportunities. Health and wellness benefits. Pension scheme A supportive and inclusive team culture. How to Apply: If you’re a skilled Python Data Engineer looking for your next opportunity with a leading financial business, we’d love to hear from you! Please apply by sending your CV and a brief cover letter outlining your relevant experience. Don’t miss out on this exciting opportunity to join an industry-leading team in the heart of Cheshire!
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Python Data Engineer Location:
Cheshire (Hybrid/Remote options available) Salary:
Up to £50,000 per annum About the Company: We are working with an innovative and rapidly growing financial services business based in Cheshire, known for its forward-thinking approach and a strong commitment to leveraging data-driven insights. As part of their expansion, they are looking to bring on board a talented Python Data Engineer to help build and optimise their data infrastructure, enabling data-driven decision-making across the business. The Role: As a Python Data Engineer, you will play a crucial role in the design, development, and maintenance of robust data pipelines and systems. You’ll work closely with cross-functional teams to ensure that the data architecture is scalable, efficient, and supports the company’s ambitious growth objectives. This is a fantastic opportunity to join a dynamic team and contribute to the next stage of the business's digital transformation. Key Responsibilities: Develop and maintain Python-based data pipelines and ETL processes. Work with large datasets, ensuring data is clean, accurate, and ready for analysis. Collaborate with data scientists, analysts, and other engineers to optimise data flows and reporting. Design and implement data storage solutions that support business requirements. Ensure data quality and consistency across all platforms. Continuously monitor and improve the performance of data systems. Provide technical support and guidance on data-related projects. Required Skills & Experience: Educated to degree level in a quantitative subject or equivalent work experience. At least 2 years’ experience in a quantitative role and data analysis. Strong experience with Python and libraries such as Pandas, NumPy, and SQLAlchemy. Proven IT skills, especially with quantitative/coding tools. A real understanding of data storage technologies – proficient in SQL, and ideally have experience with NoSQL and Caching. Strong data presentation skills, with an ability to effectively communicate insights. Strong appreciation of the key elements in the development of a customer-facing organisation. Self-starter, with attention to detail, able to manage a varied and heavy workload in a fast-growing environment. Actively suggests innovation and takes initiative. Familiarity with Version Control System best practices, with experience using Git (or equivalents). Commitment to testing and understanding its importance in building reliable products. Knowledge of data integration and transformation. Excellent problem-solving skills and attention to detail. Desirable Skills & Experience: Knowledge of either the Financial Services Sector or Agricultural Sector would be beneficial. Experience with Artificial Intelligence (AI) and Machine Learning to develop forward-thinking initiatives. Experience with data hygiene and AI/ML tools to assist with data cleaning. Coding and software development skills would be a plus. Project management experience, particularly in managing projects across departments using an Agile or hybrid-Agile methodology. Experience with cloud-based platforms (AWS, Azure, Google Cloud, etc.). Familiarity with data engineering tools such as Airflow or similar. Knowledge of data security best practices. Benefits: Competitive salary up to £50,000 & Up to 8% bonus Flexible working options (Hybrid or remote working). Excellent professional development opportunities. Health and wellness benefits. Pension scheme A supportive and inclusive team culture. How to Apply: If you’re a skilled Python Data Engineer looking for your next opportunity with a leading financial business, we’d love to hear from you! Please apply by sending your CV and a brief cover letter outlining your relevant experience. Don’t miss out on this exciting opportunity to join an industry-leading team in the heart of Cheshire!
#J-18808-Ljbffr
