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- Tasks: Lead data engineering projects and drive data-driven transformations 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 innovation in data engineering and make a real impact on businesses.
- Qualifications: Deep technical expertise in data engineering and proven business development skills required.
- Other info: Ideal for those passionate about data, technology, and driving change in organisations.
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. Attend industry conferences, webinars, and local meetups to connect with potential colleagues and clients. Building relationships can lead to referrals and insider information about job openings.
✨Tip Number 2
Showcase your expertise by contributing to online forums or writing articles on platforms like LinkedIn. Sharing your knowledge on data governance, cloud solutions, or big data frameworks can position you as a thought leader and attract attention from recruiters.
✨Tip Number 3
Prepare for interviews by familiarising yourself with the latest trends in data engineering and AI. Be ready to discuss how you've successfully led teams and delivered projects that align with business objectives, as this will demonstrate your leadership capabilities.
✨Tip Number 4
Research our company culture and values at StudySmarter. Understanding what we stand for will help you tailor your conversations during interviews and show how you can contribute to our mission of driving data-driven transformation.
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. Emphasise your technical expertise with tools like AWS, Azure, and SQL, as well as your success in business development and client engagement.
Craft a Compelling Cover Letter: Write a cover letter that showcases your leadership skills and experience in driving data-driven transformation initiatives. Mention specific projects where you led teams or developed scalable data solutions, and explain how these experiences align with the company's goals.
Highlight Key Competencies: In your application, clearly outline your competencies in business development, technical expertise, and client engagement. Use examples to demonstrate your ability to manage teams and deliver high-quality project outcomes.
Proofread and Edit: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. Ensure that your writing is clear and professional, reflecting your attention to detail and commitment to quality.
How to prepare for a job interview at 83zero Ltd
✨Showcase Your Technical Expertise
Be prepared to discuss your deep technical knowledge in data engineering. Highlight your experience with tools like AWS, Azure, and big data processing frameworks. Providing specific examples of past projects where you implemented scalable data solutions will demonstrate your capability.
✨Demonstrate Business Acumen
Since the role involves business development, be ready to talk about how you've successfully identified and developed new business opportunities in the past. Share examples of how you've built client relationships and contributed to revenue growth.
✨Emphasise Leadership Skills
As a Data Engineering Lead, you'll need to manage teams effectively. Discuss your leadership style and provide examples of how you've mentored teams or led multi-disciplinary projects. Highlight your ability to foster collaboration and technical excellence.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about challenges you've faced in previous roles, particularly in data governance or project delivery, and how you overcame them. This will showcase your critical thinking and adaptability.
