Head of Data Engineering

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profile Job Location:

London - UK

profile Monthly Salary: Not Disclosed
Posted on: 15 hours ago
Vacancies: 1 Vacancy

Job Summary

Role: Head of Data Engineering

Location: UK London

Job type: Full time Permanent Hybrid


This position offers a hybrid work model allowing flexibility between working from home and our office. Typically employees are expected to work 2 days in the office per week.


Why QS

At QS we believe that work should empower you. Thats why we foster a flexible working environment that encourages every employee to own their career whilst flourishing personally and professionally. Our company values underpin everything we do we collaborate respect and support each other.


Its our mission to empower motivated people around the world to fulfil their potential through higher education ensuring that everyone has access to opportunities that change lives.


Our diversity makes us stronger. By sharing our experiences we learn from one another and achieve more together driving progress across the sector.

At QS youll be responsible for implementing real change in the international higher education landscape. Youll take on meaningful challenges that see a positive impact across the business and the wider sector.

Were confident youll feel right at home here. QS was named as one of Newsweeks Top 100 Most Loved Workplaces in the UK (October 2023) recognising the respect trust and appreciation that drive our culture every day. And as a gold-accredited Investors in People organisation putting us among the top 28% of workplaces globally its official: QS is a place where everyone can thrive.

As a Head of Data Engineering this is what youll be doing:

At QS we believe that empowering people through data drives meaningful impact in higher education worldwide. As Head of Data Engineering you will lead in the architectural design build and delivery of scalable data pipelines APIs and services at the core of QS Cerebrum and our enterprise analytics and AI platforms. The Head of Data Engineering will be accountable for building and owning the data architecture and infrastructure that underpin QSs core student and institution facing products and enterprise analytics. This role leads the engineering function responsible for ingestion transformation quality governance and delivery of all core QS datasets. You will define and embed engineering standards robust governance and data quality measures into all pipelines and actively develop your engineers to deliver a high-performance culture in Data and Analytics.


This role will collaborate with leaders across Data Science Product and Technology to build the QS data platform. Your strong leadership and communication skills will be essential in collaborating with stakeholders guiding team members and contributing to QSs long-term strategic objectives.


This is an exciting opportunity to shape the future of higher education and workforce development by joining a dynamic Data Engineering team. If you are passionate about leading innovating and making a tangible difference in a diverse and supportive environment we invite you to envision yourself in this impactful role at QS.


Role responsibilities

Data Platform Ownership

  • Architect and evolve QSs enterprise data platform (AWS Snowflake).
  • Drive the transition toward modern data architectures (data platform streaming pipelines real-time scoring where relevant).
  • Own standards for ingestion transformation orchestration metadata observability and lineage.


Pipeline & Infrastructure Leadership

  • Build robust ETL/ELT pipelines for QS datasets across performance recruitment skills and innovation including real-time student demand data global workforce data and higher education rankings data.
  • Implement scalable frameworks for data acquisition from surveys universities partners and public sources.
  • Ensure pipelines are cost-efficient monitored recoverable and version-controlled.


Data Quality & Governance

  • Establish enterprise-wide data quality metrics monitoring systems and remediation workflows.
  • Implement governance frameworks aligned with QSs methodologies and product /service requirements.
  • Partner with Data Science Technology and Product to standardize definitions master data and reference data models.


Team Leadership

  • Lead grow and mentor a global team of data engineers
  • Set clear engineering standards code practices review processes and architectural guidelines.
  • Build a culture of technical excellence reliability and delivery accountability.


Cross-Functional Collaboration

  • Partner with the Director of Data Science Technology and Product Leads to align on priorities platform capabilities and data readiness.
  • Translate business and methodological requirements into scalable data engineering solutions.
  • Work with compliance and security teams on data privacy PII handling and regulatory alignment (GDPR global privacy standards).


Strategic Contribution

  • Own and drive the multi-year data engineering roadmap.
  • Introduce automation ML-assisted data validation and higher-frequency data refresh cycles to improve QSs data competitiveness.
  • Future-proof QSs data stack to support new growth models


Key skills and experience

  • Proven ability to lead teams and deliver results in complex data or information services businesses
  • Wicked problem-solver who thrives in dynamic evolving environments
  • Strategic communicator with strong interpersonal and leadership skills fostering collaboration and inclusivity
  • Demonstrable business impact balancing technical solutions with practical business needs
  • Strong Proficiency in SQL and Python with hands-on experience in cloud data platforms (such as Snowflake or equivalent)
  • Strong experience with orchestration tools (e.g. Glue Airflow dbt) supporting reliable data workflows streaming frameworks (such as Kafka Snowpipe) for real-time data delivery and machine learning and artificial intelligence workflows including feature stores and platforms like Sagemaker
  • Excellent understanding of data modeling concepts including graph-based design
  • Familiarity with REST/GraphQL APIs and approaches to optimize data delivery and performance
  • Masters degree of higher in a relevant field

Please note if you dont meet all the criteria but believe you have the skills and passion to thrive in this role we encourage you to apply.


So who are we and what do we do

QS is the world leader in higher education services analytics insights and intelligence. From consultancy to student mobility academic partnerships to branding solutions our services power both institutional and individual success.

Were behind the worlds most widely read university rankings (Meltwater 2023). Our QS World University Rankings reach hundreds of millions shaping decisions and guiding futures.

Since launching in 1990 our impact and influence have only grown. Today we work with more than 2000 of the worlds leading higher education institutions over 12000 employers and governments seeking change and socioeconomic development through higher education.

Join QS and youll join an 800-strong community of problem-solvers creators collaborators and change-makers based in 40 countries and 11
international offices including Australia Malaysia India Romania Singapore France Germany the USA and our headquarters in London.

With every talented new hire business acquisition and bold initiative were strengthening our reach and delivering even greater value to institutions and learners worldwide. Are you ready to shape the future of higher education


We take investing in our people very seriously.

As standard you will have:

  • Competitive base salary
  • Access to an annual bonus scheme (for qualifying roles only)
  • 25 days annual leave plus bank holidays increasing to 27 days after 5 years
  • Access to a Buy Holiday scheme allowing you to buy up to 5 additional holiday days per year
  • Enhanced maternity and paternity leave
  • Generous pension through Royal London
  • Comprehensive private medical insurance and wellness scheme through Vitality
  • Cycle to work scheme
  • A vibrant social environment and multicultural and multinational culture

But thats not all. Outside of these standard benefits we also offer resources to allow professional growth and wellness initiatives to nurture a healthy mindset:


  • Free subscription to the Calm App the #1 app for sleep meditation and relaxation
  • A focus on welfare which is led by our global wellness team with mental health first aiders globally
  • Access to a variety of diversity and inclusion initiatives and groups
  • Strong recognition and reward programs including a peer-to-peer recognition platform quarterly and annual QS Applaud Awards Connect with your Career annual PD event
  • Support for volunteering and study leave
  • Free subscription to LinkedIn learning with over 5000 courses and programmes at your fingertips
  • Options to join our outstanding global Mentorship programme


Like what youve heard Great apply now!

As a candidate we know the application and interview process can be daunting and so its important that you have a great experience with us. Our dedicated Talent Team will work hard to ensure you are fully informed at all stages and you are really excited by this opportunity to do meaningful work in the education space.


Equal opportunities

QS Quacquarelli Symonds is proud to be a fair and equal organisation where everyone has the same opportunity to achieve their full potential irrespective of their background or personal attributes. We celebrate our diversity and believe through sharing our experiences we can learn from one another be stronger together and enable our business to thrive.


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Role: Head of Data EngineeringLocation: UK LondonJob type: Full time Permanent Hybrid This position offers a hybrid work model allowing flexibility between working from home and our office. Typically employees are expected to work 2 days in the office per week.Why QSAt QS we believe that work shoul...
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We are QS Quacquarelli Symonds, the global higher education experts. We connect universities, business schools, employers, governments and students.

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