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For Companies At a Glance
- Tasks: Lead data engineering projects, manage teams, and drive client relationships.
- Company: Join a dynamic consulting firm focused on AI and Data transformation.
- Benefits: Enjoy a competitive salary, bonuses, and opportunities for professional growth.
- Why this job: Be at the forefront of data-driven innovation and make a real impact.
- Qualifications: Deep technical expertise in data engineering and strong business acumen required.
- Other info: Ideal for those passionate about shaping the future of data solutions.
The predicted salary is between 68000 - 85000 £ per year.
My consulting client is looking to bring in a data engineering lead to their expanding AI and Data practice.
Job Summary
The Offering Leader is a senior expert responsible for driving strategic initiatives, providing domain-specific thought leadership. As our Data Engineering Offering Lead, you will play a pivotal role in driving data-driven transformation initiatives for enterprise clients. You will be responsible for leading consulting engagements, architecting scalable data solutions, managing teams, and developing client relationships to accelerate business growth. The ideal candidate will possess deep technical expertise in data engineering, strong business acumen, and a proven track record of delivering enterprise data solutions.
Key Responsibilities
- Business Development & Commercial Leadership: Identify and develop new business opportunities, expanding client relationships and driving revenue growth. Lead sales efforts, proposal development, RFP responses, and contract negotiations. Shape go-to-market strategies and establish new service offerings in data engineering and analytics. Partner with senior leadership to define growth targets and market positioning. Build and manage senior client relationships, acting as a trusted advisor in data-driven decision-making.
- Solution Delivery & Consulting Leadership: Oversee end-to-end execution of consulting engagements in data engineering, analytics, and visualisation. Architect and implement scalable, secure, and high-performance data solutions on cloud and on-premise platforms. Guide teams in data pipeline development, real-time streaming architectures, and data governance best practices. Ensure high-quality project delivery, aligning solutions with client business objectives. Mentor and lead multi-disciplinary teams, fostering technical excellence and client-centric approaches.
Key Competencies
- Business Development: Proven success in developing and closing enterprise deals within data and analytics consulting.
- Technical Expertise: Strong knowledge of data governance, security, and compliance (GDPR, HIPAA, SOC 2). Expertise in AWS, Azure, GCP, Snowflake, Databricks, and big data processing frameworks. Proficiency in SQL, Python, Scala, Java, Spark, and data modelling.
- Client Engagement: Experience in agile project management, stakeholder engagement, and commercial negotiations.
- Leadership & Collaboration: Ability to scale consulting teams and establish digital-first engineering business functions.
- Innovation & Knowledge Sharing: Forward looking, curious and innovative, ability to form insights and drive adoption of new technologies in data & AI.
Data Engineering Lead employer: 83zero
Contact Detail:
83zero Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Lead
✨Tip Number 1
Network with professionals in the data engineering field, especially those who have experience in consulting. Attend industry events, webinars, and meetups to connect with potential colleagues or mentors who can provide insights into the role and company culture.
✨Tip Number 2
Showcase your leadership skills by participating in relevant projects or initiatives that demonstrate your ability to manage teams and drive business growth. Highlight any experience you have in mentoring others or leading successful data-driven projects.
✨Tip Number 3
Familiarise yourself with the latest trends and technologies in data engineering, particularly those mentioned in the job description like AWS, Azure, and Snowflake. Being well-versed in these tools will not only boost your confidence but also impress potential employers.
✨Tip Number 4
Prepare for interviews by developing a strong understanding of the business side of data engineering. Be ready to discuss how you can contribute to business development and client engagement, as these are key aspects of the role.
We think you need these skills to ace Data Engineering Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering and consulting. Focus on your achievements in business development, technical expertise, and leadership roles that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven transformation. Mention specific projects where you led teams or developed scalable data solutions, and explain how your skills can benefit the company.
Highlight Technical Skills: Clearly list your technical skills related to data governance, cloud platforms, and programming languages mentioned in the job description. Use examples to demonstrate your proficiency and how you've applied these skills in past roles.
Showcase Leadership Experience: Emphasise your experience in leading teams and managing client relationships. Provide examples of how you've mentored others and driven successful project outcomes, as this is crucial for the role of Data Engineering Lead.
How to prepare for a job interview at 83zero
✨Showcase Your Technical Expertise
As a Data Engineering Lead, it's crucial to demonstrate your deep technical knowledge. Be prepared to discuss your experience with data governance, cloud platforms like AWS and Azure, and programming languages such as SQL and Python. Highlight specific projects where you've successfully implemented scalable data solutions.
✨Emphasise Business Acumen
This role requires not just technical skills but also strong business acumen. Be ready to talk about how you've identified and developed new business opportunities in previous roles. Share examples of how you've acted as a trusted advisor to clients, helping them make data-driven decisions that align with their business objectives.
✨Demonstrate Leadership Skills
Leadership is key for this position. Prepare to discuss your experience in mentoring teams and managing consulting engagements. Provide examples of how you've fostered collaboration and technical excellence within your teams, and how you've ensured high-quality project delivery.
✨Prepare for Client Engagement Scenarios
Since client engagement is a significant part of the role, think of scenarios where you've successfully managed stakeholder relationships or negotiated contracts. Be ready to explain your approach to agile project management and how you've built trust with senior clients in the past.
