Senior Data Engineer

Cinefix
Leeds
3 weeks ago
Create job alert

Senior Data Engineer – Cinefix


About The Role

Hippo is recruiting for a Senior Data Engineer to join our Hippo Herd. Our senior engineers work in multidisciplinary teams that build, support & maintain User-Centred digital solutions that offer real value and work for everyone.


As a Senior Data Engineer, you will work as part of a multidisciplinary team to build solutions that make data accessible and enable optimisation using an evidence-based approach. Engaging with our clients, you will design and implement data solutions ensuring they are integrated with internal systems and business processes. Our solutions empower customers to build and support secure, scalable, and well-engineered systems beyond traditional boundaries. We leverage deep data insights and continuous innovation to deliver awesome platforms that allow our customers to understand and get the most from their data and digital services.


Please note, we are looking for candidates seeking growth at this level (Senior); therefore the advertised salary band is the lower end of our full banding for this level, allowing for progression in the role.


Your Role In a Nutshell

  • Act as an SME within the Hippo squad to lead, design, and implement data solutions that meet business requirements.
  • Help architects realise data system designs such as meshes, warehouses, and event‑based systems.
  • Implement data flows to connect operational systems, data for analytics, and business intelligence (BI) systems.
  • Re‑engineer, develop, and optimise code to ensure processes perform optimally.
  • Build great relationships with your team and stakeholders.
  • Work with the Hippo community to share best practice to ensure high standards.
  • Participate in the recruitment and on‑boarding of other engineers, and support other consultants in their professional development.
  • Promote Hippo’s Engineering Herd internally and externally (e.g., through writing blogs, workshops, seminars, or conferences).

Skills and Experience You Need

  • Expertise in Python.
  • Proven track record in Snowflake, dbt, AWS, and Terraform.
  • Proficiency in R, Bash, Java/.NET, and/or PowerShell desirable.
  • Broad knowledge across cloud architectures, networking, and distributed computing systems.
  • Experience with data system design such as data lakes, data meshes, and data warehouses.
  • Experience with a wide range of data sources, SQL, NoSQL, and graph databases.
  • A proven track record of infrastructure delivery on any data platform (Snowflake, Elastic, Redshift, Databricks, Splunk, etc.).
  • Strong and demonstrable experience writing regular expressions and/or JSON parsing.
  • Strong experience in log processing (Cribl, Splunk, Elastic, Apache NiFi, etc.).
  • Expertise in producing dashboards and insight delivery.
  • Reasonable level of security awareness (basic security best practices, OAuth, MFA, TLS, etc.).
  • Experience in processing large datasets.
  • Firm understanding of data modelling and normalisation concepts.
  • Good estimation skills for time, latencies, and costs.
  • Desire to work within multidisciplinary teams.
  • Teamwork and presentation skills; experience of mentorship‑led working practices.

What Makes Us Great

As well as a competitive salary, you can also expect a range of benefits:



  • Contributory pension scheme (Hippo 6% with employee contributions of 2%).
  • 25 days holiday plus UK public holidays.
  • Perkbox access for a wide range of discounts.
  • Critical illness cover.
  • Life assurance and death in service cover.
  • Volunteer days.
  • Cycle‑to‑work scheme for avid cyclists.
  • Salary sacrifice electric vehicle scheme.
  • Season ticket loans.
  • Financial and general wellbeing sessions.
  • Flexible benefits scheme with options of:

    • Private health cover.
    • Private dental cover.
    • Additional company pension contributions.
    • Additional holidays (up to an extra 2 days).
    • Wellbeing contribution.
    • Charity contributions.
    • Tree planting.



Diversity, Inclusion and Belonging at Hippo

At Hippo, we are dedicated to creating a diverse, equitable and inclusive workplace that works for everyone. We actively encourage applications from under‑represented groups including women, ethnic minorities, LGBTQ+, neurodivergent individuals and people with disabilities. We are a registered Disability Confident Employer, Mindful Employer, Endometriosis Friendly Employer and a member of the Armed Forces Covenant. Hippo continually strives to remove barriers, provide accommodations and offer reasonable adjustments to ensure equity throughout our practices.


Hippo Locations

We are headquartered in Leeds and have offices across the UK in Glasgow, Manchester, Birmingham, London and Bristol. We are looking for talent nationwide, but candidates must be located within reasonable travelling distance from one of our offices, which will be your contracted office location. Given the dynamic nature of a consulting business, you may be required to work on‑site at a Hippo office or at an in/out of town client location for a number of days per week (client‑dependent) and therefore candidates will need to be open/flexible to travel. We also offer a generous relocation support package of up to £8k (please ask for terms and conditions) to help make your move smooth.


Pay: £57,000.00 – £64,000.00 per year


Work Location: Hybrid remote in Leeds LS1 4HT


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer (AWS, Airflow, Python)

Senior Data Engineer - Anti-Piracy

Senior Data Engineer

Senior Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.