As a Principal Data Engineer at Arreoblue, you will play a crucial role in transforming data into meaningful insights, guiding our clients—ranging from global enterprises to innovative startups—through their data journeys. This position offers the opportunity to work on a variety of impactful projects, leveraging your expertise in the Microsoft Intelligent Data Platform to help organizations harness the power of modern cloud technologies. At Arreoblue, we value collaboration, continuous learning, and the sharing of knowledge. We are committed to supporting your professional growth as you lead and innovate in the data engineering space. Why Choose Arreoblue? As partners with Microsoft, Databricks, BlakYaks, and Datometry, we offer an expansive range of training, knowledge, and opportunities within the data industry. We are committed to investing in our people, and this is reflected in our team’s culture and approach to work. We love data and are deeply engaged with the fast-evolving technologies and communities around it. We encourage our employees to blog, attend, contribute, and present at data events—no matter how big or small. We are fully committed to supporting your professional development. Arreoblue is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Competitive salary £85,000 - £95,000 (excluding bonus & benefits) 25 days holiday + bank holidays Pension Contributions and Benefits Company Performance-Based Bonus up to 15% of base Training & Development Packages Flexible Working Paid Events & Company Days Arreoblue is experiencing consistent exciting growth and for exceptional individuals we offer equity options which this role would be eligible for so that you can share in the journey and success of our business. What Success in the Position Looks Like Success in this role is defined by: Empowering Clients: Leading data projects that empower clients to achieve their goals through innovative use of cloud-based data s olutions.Build ing and Nurturing Teams: Cre ating an inclusive and supportive environment where both internal and client teams can collaborate effectively, grow their skills, and excel in their roles.Strat egic Vision and Execution: Cra fting and implementing strategic data roadmaps that align with client objectives, ensuring projects are delivered successfully and have a lasting positive impact.Advoc acy and Learning: Act ively participating in and contributing to the broader data engineering community, staying ahead of industry trends, and bringing back new insights to benefit your team and clients. How This Role Fits Into the Organization Overall In this role, you will be a key leader at Arreoblue, directly influencing our clients' success and the direction of our data engineering practice. Your contributions will help shape our company's reputation as a leader in data innovation. You will collaborate closely with senior leaders and cross-functional teams, ensuring that our technical solutions align with our business strategy and client needs. As a Principal Data Engineer, you will be a role model and mentor, helping to build a diverse and inclusive team that thrives on mutual respect and shared success. Responsibilities Lead Engineering and Architectural Assessments: Conduct comprehensive evaluations of client data environments, identifying opportunities to innovate and improve.Strat egic Roadmap Development: Col laborate with clients to create data roadmaps that are aligned with their business goals and ensure successful outcomes.Inclu sive Project Leadership: Lea d diverse and dynamic data projects, fostering a culture of collaboration and ensuring all voices are heard and valued.Mento rship and Team Development: Sup port the growth and development of both Arreoblue and client-facing teams, offering guidance and mentorship to nurture talent and drive high performance.Techn ical and Commercial Stewardship: Man age the balance between technical excellence and commercial viability, ensuring projects meet both client expectations and business goals. Qualifications Technical Expertise: Strong experience and knowledge in the Microsoft Intelligent Data Platform, including Azure, Databricks, Fabric/Synapse Analytics, Dedicated SQL Pools, and Data Factory.Progr amming and Tools: Pro ficiency in Apache Spark, SQL, and Python, with a solid foundation in best development practices.Leade rship and Collaboration: Pro ven ability to lead, mentor, and develop high-performing technical teams, with a focus on fostering an inclusive and supportive team environment.Commu nication Skills: Exc eptional verbal and written communication skills, with the ability to convey complex technical concepts in a clear and accessible manner to diverse audiences.Strat egic Thinking: Cap able of developing and executing strategic data plans that drive client success and reflect the latest industry trends.Lifel ong Learning: A c ommitment to continuous professional development, with an interest in becoming a Microsoft MVP or achieving equivalent recognition in the data engineering community.Educa tional Background: A b achelor’s degree in Computer Science, Information Technology, or a related field is preferred, though we also value equivalent professional experience and diverse educational backgrounds.Exper ience: Ext ensive experience in data engineering, particularly in cloud-based solutions and large-scale projects, with a proven track record of leading successful initiatives.