At a Glance
- Tasks: Lead a team of Data Engineers to enhance our Enterprise Data Platform and solve complex business problems.
- Company: Join Quantiphi, an award-winning AI-first digital engineering company transforming industries.
- Benefits: Competitive salary, hands-on experience with cutting-edge tech, and opportunities for continuous learning.
- Other info: Dynamic environment with a commitment to quality and personal ownership.
- Why this job: Make a real impact by working with Fortune 500 companies on innovative AI solutions.
- Qualifications: 8-12 years in data engineering, leadership skills, and expertise in cloud data platforms.
Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients.
Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.
Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters
We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:
- 21 Google Cloud Partner of the Year awards in the past 10 years
- 3 AWS AI/ML Partner of the Year awards
- 3 NVIDIA Partner of the Year awards
- 3 Snowflake Partner of the Year awards
- Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms
Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.
We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture.
Experience Level - 8 to 12 Years
The role
The focus of a Lead Data Engineer is to manage and lead Data Engineers and to support and enhance all parts of the Enterprise Data Platform. The role also involves working closely with the rest of the delivery team which comprises Business Analysts, Testers, Delivery Managers and the business stakeholders. The right candidate will be able to:
- Working with senior stakeholders to understand high value business problems that can be solved through the application of data processing and analytical systems
- Demonstrate experience of Leading a team of data engineers, both onshore and offshore
- Capability to architect highly scalable distributed systems, using different tools
- Helping to architect, setup and support a new cloud-based analytics platform for the business
- Ensuring your team supports the Data Science Team by building data pipelines for specific insights and provides them with an environment for their R&D and experimentation
- Have experience of working with partners and business stakeholders
- Expert knowledge of data modelling and understanding of different data structures and their benefits and limitations under particular use cases
- Have Technical experience of Cloud Data platforms GCP
- Have technical experience of Microsoft data warehouse developer (SQL Server, SSIS, SSAS) and cloud based data warehousing tools such as Azure Synapse and Data Factory.
- Capable of solving and coaching the team through complex data problems
- Must be able to work both independently and as a member of a team to deliver enterprise class data warehouse solutions.
- Communication and presentation of ideas to colleagues in all parts of the wider business
- Recruitment, Mentoring & code reviews for the Data Engineering Team
We are looking for a skilled, motivated and analytical individual with a strong leadership skills and background in data warehousing who can work closely with the existing team to successfully deliver the requirements set out in the portfolio roadmap.
Technical Skills
- Development background with exposure to Data Warehousing at scale on both on premise and cloud
- Experience developing ETL solutions in Cloud Data platforms GCP as well as SQL Server including SSIS & T-SQL
- Exposure to DW development practices (code & configuration management, build processes)
- Appreciation of design patterns and practices that apply to the data warehouse space (e.g. Data Modelling)
- Ability to take business requirements and work with other team members to estimate and design end-to-end solutions
- Good understanding of different types of data (i.e. structured, semi-structured and unstructured data) and the considerations that should be made in how they are stored.
- Solid understanding on how to incorporate data lineage, discovery and governance within production solutions
- Solid experience of data management and validation techniques
Our nice to haves:
- Insurance industry experience
- Exposure to BI reporting toolsets – ideally Tableau
- Understanding of Agile principles
- Exposure to cloud-based data warehouse solutions – ideally Azure
- Demonstrable experience in mentoring or supporting the development of junior team members
Behavioural
- Intellect and gravitas to influence and gain credibility with stakeholders
- Excellent written and verbal communication skills
- Creative, proactive, logical and innovative – you do not accept the status quo
- Highly results driven, with the energy and determination to succeed in a fast paced environment
- Demonstrate a commitment to quality, service and personal ownership
- Deal well with ambiguity and enable a consensus to be reached
- An inquisitive mind-set and desire to understand both data and business requirements
- Continuous self-improvement and learning
What is in for you:
- Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
- Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
- Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
- Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.
Lead Data Engineer employer: Quantiphi
Quantiphi is an exceptional employer that champions innovation and collaboration in the AI services sector. With a strong focus on employee growth, we offer comprehensive training and development opportunities, fostering a dynamic work culture that values creativity and strategic thinking. Working remotely in the UK, you'll enjoy the flexibility to balance your professional and personal life while contributing to transformative projects in the insurance industry.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Quantiphi!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Engineer at Quantiphi.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Quantiphi.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer at Quantiphi, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Quantiphi, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Quantiphi. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Quantiphi
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Quantiphi!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
