Python Developer

Battenhall
London
11 months ago
Applications closed

Related Jobs

View all jobs

Developer with Data Engineering focus

Senior Data Engineer (AWS, Airflow, Python)

IT Data Engineer

Data Engineer

Machine Learning Engineer

Data Scientist

Python Developer, UK


Role Summary:

The role of Python Developer will be part of Battenhall’s Innovation team, which is focussed on new product development and continuous improvement of both external and internal products and services. We identify opportunities to solve problems and deliver greater value to both our internal teams and our customers. This means that sometimes we work on small, discrete projects that go from conception to deployment within a month, and at other times we work on large scale SaaS products that have a lifespan of years.

The role of Python Developer will have a primary focus of accelerating the development of our flagship product, which hinges on getting data out of social platforms efficiently, storing it, wrangling it, and making it available to the front end. As such, experience as a back-end developer, a data engineer or a data pipeline specialist with experience in Python would also be considered.

This is an exciting time to join this growing team, with huge opportunities for personal growth and career development as an early team member.


Responsibilities:

Business logic and core systems:

  • Develop the underlying business logic and infrastructure that brings together the frontend customer journey, third party data and proprietary business logic to create a distinctive experience.
  • Develop an optimised API for our front end to make efficient calls to, involving wrangling data and ensuring it is available in the final parsed format for UI display.
  • Create custom data loaders to import and abstract third-party data into a universal and scalable system.


Data Pipelines:

  • Maintain, improve, and create data pipelines between social platforms’ APIs (Instagram, Facebook, LinkedIn, TikTok, X, YouTube, Threads) and our Postgres database.
  • Use tools such as Dagster, Fivetran, and Big Query to ensure efficient data flow and processing.


Database Management / Efficiency:

  • Enhance the performance of queries to the database.
  • Ensure data integrity and optimise database operations.


Data Processing

  • Provide better access to summarised data via RPC functions or similar approaches.
  • Implement efficient data wrangling processes to transform raw data into valuable insights.


Development of AI capabilities

  • Use of AI models to augment the core data systems and provide enhanced data for internal and external customers


Skills and qualifications:

  • Minimum of 4 years of experience in a similar role/s.
  • Proficiency in Python and SQL.
  • Familiarity with cloud infrastructure that enables rapid prototyping and publishing.
  • Experience with Python-based ETL tools (eg Dagster, Airflow), Postgres (hosted or via a DBaaS like Supabase), and cloud data (eg Big Query, Snowflake) is desirable.
  • Experience with NextJS and TypeScript would be considered ideal.
  • Strong communication and teamwork abilities to collaborate effectively with both technical and non-technical team members.
  • Enthusiasm for a startup-like environment, with a willingness to adapt and innovate.
  • Ability to work independently and manage time efficiently.
  • Experience in line management or team leading is a plus but not essential.


Contact us

If you believe you’re the right candidate, please get in touch with us at , including your CV, cover letter, and any relevant examples or a portfolio of work.

Battenhall has a commitment to diversity, equality, and inclusion within the workplace. Please be eligible to work within the UK.

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.