At a Glance
- Tasks: Own and build reliable data pipelines that power real business decisions.
- Company: Join Pubity Group, a fast-paced tech company focused on data innovation.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Be part of a diverse team and enjoy full ownership of your projects.
- Why this job: Make a real impact by designing scalable data systems in a hands-on role.
- Qualifications: Experience with data pipelines, SQL, Python, and API integrations required.
The predicted salary is between 36000 - 60000 £ per year.
Data at Pubity moves fast. We need an engineer who can own our data function end-to-end, build reliable pipelines, and turn messy inputs into structured, dependable systems the business can trust. If you enjoy designing scalable architecture, setting standards, and shipping production-grade data systems that power real decisions every day, this role is for you.
As Founding Data Engineer, you will take full ownership of Pubity Group’s data function. You will be responsible for the architecture, reliability, and evolution of our data ecosystem across Social, Commercial and Studio, with a growing footprint into our internal software stack. You will work day to day with Special Projects and key stakeholders across the business, acting as the technical owner of how data is collected, modelled, validated, governed and used. This is a hands‑on role with real autonomy: you will set the standards, build the systems, and ensure the business can rely on the outputs.
Key Responsibilities- Own the end-to-end data function: architecture, roadmap, delivery and reliability
- Design and maintain robust pipelines and data models in GCP (BigQuery, SQL, Python)
- Develop production-grade Python pipeline code (requests, pandas and clean engineering practices)
- Build and scale API integrations across Meta, TikTok, YouTube, X/Twitter and others
- Extend pipelines into internal systems (CRM, project management, meeting trackers, Slack and future tools)
- Take ownership of data quality: validation rules, automated testing, monitoring and alerting
- Define metric standards and a single source of truth across platforms (reach, engagement, retention, revenue)
- Orchestrate workflows using GCP tooling (e.g. Cloud Composer) and ensure resilient scheduling
- Own access control and governance in Google Cloud: IAM structure, permissions, auditability and admin hygiene
- Partner with Social, Editorial, Commercial and Studio to deliver dashboards, reporting layers and decision‑ready outputs
- Own documentation, data definitions, and handover standards so the function scales cleanly
- Strong experience owning data pipelines in production environments (GCP preferred)
- Advanced SQL and strong BigQuery capability (or equivalent with the ability to ramp fast)
- Strong Python for pipeline development including requests and pandas
- Experience building and maintaining API based data integrations
- Experience with dbt or Dataform and modern modelling practices
- Clear track record of owning reliability: data QA, monitoring, alerting and incident response basics
- Orchestration experience (Cloud Composer or equivalent)
- Experience connecting data models to BI platforms (Power BI or equivalent)
- Strong stakeholder management: able to prioritise competing asks and set expectations
- Cost optimisation experience in GCP or large scale query environments
- Supabase or Postgres experience
- Node.js scripting for connectors
- Multi cloud exposure (AWS or Azure)
You’ll help build and scale pipelines across:
- Meta: Facebook and Instagram already integrated
- Next wave: TikTok, YouTube, X/Twitter, Snap, LinkedIn, Google Ads
- Internal ecosystem: CRM, project management systems, meeting trackers, Slack and future first‑party tools
Everything beyond Meta will be built from scratch, with you owning the approach and standards. You want full ownership, not narrow tickets. You like building systems that other teams depend on daily. You can move fast without sacrificing reliability. You communicate clearly and drive alignment across teams.
Pubity Group is an equal opportunities employer. We are determined to create a diverse group at all levels of our company and we welcome all members of the community to apply for openings with us.
Founding Data Engineer employer: Pubity Group
At Pubity, we pride ourselves on fostering a dynamic and inclusive work environment where innovation thrives. As a Founding Data Engineer, you will enjoy the autonomy to shape our data function while collaborating with diverse teams across the business. With a commitment to employee growth and a culture that values creativity and reliability, Pubity offers a unique opportunity to make a significant impact in a fast-paced setting.
StudySmarter Expert Advice🤫
We think this is how you could land Founding 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 Pubity Group!
✨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 Founding Data Engineer at Pubity Group.
✨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 Pubity Group.
✨Apply Directly through Our Website
When you find a suitable opening like Founding Data Engineer at Pubity Group, 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 Founding 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 Pubity Group, 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 Pubity Group. 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 Pubity Group
✨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 Pubity Group!
✨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.
