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- Tasks: Lead data engineering projects and drive data transformation for enterprise clients.
- Company: Join a dynamic consulting firm expanding its AI and Data practice.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of data innovation and make a real impact on businesses.
- Qualifications: Deep technical expertise in data engineering and strong business acumen required.
- Other info: Mentorship opportunities and a collaborative team environment await you.
The predicted salary is between 54000 - 84000 £ per year.
My consulting client is looking to bring in a data engineering lead to their expanding AI and Data practice.
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 Ltd
Contact Detail:
83zero Ltd 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 clients who can provide insights into the role and the company culture.
✨Tip Number 2
Showcase your leadership skills by discussing past experiences where you successfully led teams or projects. Be prepared to share specific examples of how you mentored others and drove successful outcomes in data engineering initiatives.
✨Tip Number 3
Familiarise yourself with the latest trends and technologies in data engineering and analytics. Being knowledgeable about tools like AWS, Azure, and Snowflake will not only help you in interviews but also demonstrate your commitment to staying ahead in the field.
✨Tip Number 4
Prepare to discuss your approach to business development and client engagement. Think about how you would identify new opportunities and build relationships with clients, as this is a key aspect of the role that will be evaluated during the hiring process.
We think you need these skills to ace Data Engineering Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and consulting. Focus on specific projects where you've led teams or developed scalable data solutions, and quantify your achievements to demonstrate impact.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven transformation and how your expertise aligns with the company's goals. Mention specific technologies and methodologies you are proficient in, and provide examples of successful client engagements.
Showcase Leadership Skills: Emphasise your leadership experience in managing teams and mentoring others. Provide examples of how you've fostered collaboration and technical excellence within your teams, as this is crucial for the role.
Highlight Business Acumen: Demonstrate your understanding of business development and client engagement. Include instances where you've successfully identified new business opportunities or contributed to revenue growth through strategic initiatives.
How to prepare for a job interview at 83zero Ltd
✨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 Development Skills
Since the role involves driving revenue growth and developing client relationships, be ready to share examples of how you've identified new business opportunities in previous roles. Discuss your experience with proposal development and contract negotiations to showcase your commercial acumen.
✨Demonstrate Leadership and Team Management
This position requires leading multi-disciplinary teams, so it's important to convey your leadership style. Share experiences where you've mentored team members or guided them through complex projects. Highlight your ability to foster a collaborative environment that prioritises client-centric approaches.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and decision-making process. Prepare to discuss how you would handle specific challenges in data engineering or client engagements. This will help interviewers gauge your strategic thinking and ability to drive data-driven transformations.
