3. What Senior Python Developer Jobs are in the ...Explore senior Python developer jobs, focusing on roles that demand expertise in Python programming and. These positions often involve leading development teams, architecting complex systems, and mentoring junior. Senior Python are expected to have a strong understanding of principles, design patterns, and agile methodologies. Job opportunities for senior Python include roles in,, and. These positions require proficiency in frameworks like Django and Flask, along with experience in database management and cloud technologies. Employers seek candidates with proven experience in delivering high-quality code and contributing to the overall success of projects. Candidates searching for senior Python developer jobs should focus on highlighting their experience with various Python libraries,, and deployment strategies. Strong communication and problem-solving skills are crucial, as these roles often involve collaborating with cross-functional teams and stakeholders. Keep an eye on opportunities in,, and other tech hubs across the UK.## Key skills include proficiency in Python, experience with frameworks like Django or Flask, strong understanding of database management, and familiarity with cloud technologies. Experience with and deployment strategies are important. Strong communication and problem-solving skills are needed.The salary range for a senior Python developer in the UK typically falls between **£60,000** to **£90,000** per year, depending on experience and location. Highly skilled in may command even higher salaries. This range reflects the demand for experienced Python professionals.## Top employers for senior Python in the UK include companies like,, and. These companies often have significant Python-based projects and offer competitive salaries and benefits. Many smaller tech companies and startups also seek experienced Python .## Common responsibilities include designing and developing Python-based applications, leading development teams, and mentoring junior. Senior are expected to contribute to architectural decisions and ensure code quality. They also participate in code reviews and contribute to the overall lifecycle.Showing **1316** **Senior Python Developer** jobs in **the United Kingdom**## Senior Python DeveloperBelfast, Northern Ireland £60,000 - £90,000 per year help\_outlinePosted todayJob ViewedTap Again To Close### Job DescriptionThis advertiser has chosen not to accept applicants from your region.## Senior Python Developer£60,000 - £90,000 per year help\_outlinePosted todayJob ViewedTap Again To Close### Job Description**Up to £600/day | 6 months | Remote | Immediate Start**These are backend-leaning fullstack engineering roles, ideal for engineers who enjoy owning features end-to-end while spending the majority of their time building scalable backend services and APIs.This is a highly product-focused environment where contractors can make a genuine impact quickly, working closely with an established permanent engineering team.**Key Information*** Up to £600/day (INSIDE IR35)* 6 month initial contract* 1-stage interview process* RemoteThis advertiser has chosen not to accept applicants from your region.## Senior Python Developer£60,000 - £90,000 per year help\_outlinePosted todayJob ViewedTap Again To Close### Job Description**Role: Senior Python Developer****Location: London, hybrid (in-office 3x weekly)***Data Platform — Architecture & Infrastructure Lead****ABOUT INFOBEL PRO***InfobelPro is a leading provider of B2B company data and points-of-interest intelligence. Our platform ingests, deduplicates, enriches, and cross-references company information from over a dozen authoritative sources — spanning national business registries, commercial data providers, open geographic datasets, and professional networks — to serve millions of entity records to customers via API, filtered queries, and bulk exports.We are building an entirely new data platform from the ground up. This is not a migration of legacy code into a new framework — it is a clean-sheet architecture designed to process billions of raw records into a unified, entity-resolved dataset that is accurate, auditable, and GDPR-compliant by design.The platform is built on a deliberately modern, open-source stack: Dagster for orchestration, DuckDB for processing, ClickHouse for serving, Splink for entity resolution, and FastAPI for the customer-facing layer. Everything runs on bare-metal servers (Hetzner) with infrastructure managed through Ansible — no cloud lock-in, no managed services, no abstraction layers between the team and the hardware.***ABOUT THE ROLE***You will be the technical lead of a three-person team building InfobelPro’s next-generation data platform from a blank repository. This is not a role where you inherit someone else’s architecture and maintain it, you will design the schema, lay the infrastructure, choose the patterns, and set the engineering culture that two junior developers will grow into.The platform processes billions of records from diverse sources, resolves them into a unified entity graph, and serves them at low latency to customers who depend on the data for critical business decisions. You will own all of it: the pipeline that transforms raw files into enriched entities, the ClickHouse schema that serves them, the infrastructure that keeps it running, and the GDPR compliance layer that keeps it legal.This is a high-autonomy role. You will report directly to the CTO and make architectural decisions with real consequences. The right candidate is someone who has previously owned a data pipeline end-to-end in production — including the infrastructure it runs on — and understands that the hardest problems are not algorithmic but operational: keeping a system reliable when data sources change format at midnight, pipelines fail silently, and disk fills up on a Friday.***WHAT YOU WILL DO**** Design and implement the ClickHouse schema for the entity-centric data model — companies, POIs, persons, addresses — optimised for three access patterns: point lookups, filtered analytical queries, and bulk exports.* Build and operate the infrastructure: provision and configure Hetzner bare metal servers using Ansible, manage the ClickHouse cluster (3 replicas + processing node + hot spare), configure networking, firewalls, and SSH access.* Architect the Dagster pipeline: define the asset graph, set up partitioning for monthly source ingestion, implement retry and backfill strategies, and establish the patterns that junior developers will follow for every new data source.* Own entity resolution: configure and tune Splink for probabilistic matching across company records from different sources. Define blocking rules, comparison functions, and match thresholds. This requires judgment — balancing precision against recall for datasets with hundreds of millions of records.* Implement the GDPR compliance layer: amendment tables, query-time filtering for erasure/rectification/restriction, immutable audit logging, and 7-year retention on tamper-proof backup storage.* Set up monitoring and alerting: Grafana dashboards for infrastructure health, pipeline status, and data quality trends. Prometheus for server metrics. Pydantic Logfire for data validation. On-call response when something breaks.* Design the backup and disaster recovery strategy: rclone-based backups to R2 and Hetzner Storage Box, tested recovery procedures, and documented runbooks.* Mentor two junior developers: conduct code reviews, pair on complex problems, design onboarding tasks that build real competence, and create a team culture where people ship with confidence.* Architect the AI enrichment layer (Phase 3): design the agent framework, define the multi-tier model strategy (cheap bulk models for gap-filling, frontier
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