Senior Analyst - Data Engineering

Job Details Salary: Competitive Hours: Full Time Location: Hybrid working -The VHQ Crawley Contract: Permanent Closing Date: 25th September 2024 In a nutshell Are you ready to lead the way in developing cutting-edge data solutions that drive the future of Virgin Atlantic? As a Senior Analyst - Data Engineering, you will be at the helm of designing, developing, and optimizing ETL processes that ensure our data is not only reliable but also of the highest quality and efficiency. Your expertise will be pivotal as you mentor junior team members, instilling best practices and fostering a culture of growth and excellence. In this role, you will dive deep into exploring new data sources, aligning them with business needs, and implementing rigorous data quality checks that set the standard across the organisation. Your initiatives will continually enhance our data platform, making it more robust and responsive to the evolving demands of our business. Taking the lead in creating and refining scalable, high-performance data models, you will collaborate closely with data scientists and analysts to set and uphold data modelling standards that drive our analytics capabilities forward. As a technical leader, you will shape the future of data engineering at Virgin Atlantic by developing and enforcing best-in-class engineering standards, overseeing impactful projects, and promoting a culture of continuous improvement and innovation. Your collaboration with cross-functional teams and stakeholders will be instrumental in communicating project updates, gathering critical feedback, and refining our processes. Your leadership will not only drive data engineering excellence but also solidify strong partnerships that keep Virgin Atlantic at the forefront of data-driven innovation. If you are driven by a passion for data engineering and eager to excel in a fast-paced, dynamic environment, this is your chance to make a lasting impact at Virgin Atlantic and let your career soar new heights. Day to day Lead the design, development, and maintenance of data engineering solutions to support various business functions. Collaborate with diverse teams to gather requirements and determine data needs. Develop and optimize data pipelines and ETL processes to ensure efficient data flow. Perform data analysis and data quality assessments to identify and resolve issues. Create and maintain data models and databases for reporting and analytics purposes. Implement effective strategies in data engineering and uphold data governance standards. About you Demonstrated ability to lead the design, development, and optimization of data pipelines and models, ensuring high performance and scalability. Previous experience as a data engineer or in a similar role. Proficiency in SQL, Python, and data engineering tools, with hands-on experience in cloud technologies and scalable data warehouses. Databricks and Azure experience is highly beneficial. Understanding of data warehousing concepts and dimensional modeling. Excellent problem-solving and analytical skills. Proficiency in effectively operating within a dynamic, fast-paced and agile work setting. Be yourself Our customers come from all walks of life and so do our colleagues. That's why we're proud to be an equal opportunity employer and actively encourage applications from all backgrounds. At Virgin Atlantic, we believe everyone can take on the world - no matter your age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs. We celebrate difference and everything that makes our colleagues unique by upholding an inclusive environment in which we can all thrive. So that everyone at Virgin Atlantic can be themselves and know they belong. To make your journey with us accessible and individual to you, we encourage you to let us know if you'd like a little extra help with your application, or if you have any individual requirements at any stage along your recruitment journey. We are here to support you, so please reach out to our team, ( [email protected] ) feeling confident that we've got your individual considerations covered.