Senior Python Data Engineer - AI

JR United Kingdom
City of London
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer (Python/PySpark & SQL)

Data Engineer

Senior Data Engineer - Microsoft Fabric

2x Senior Data Engineer (Financial Services)

Senior Data Engineer

Senior Data Engineer

Social network you want to login/join with:
Senior Python Data Engineer - AI, london (city of london) col-narrow-left
Client: Location: london (city of london), United Kingdom
Job Category: Other
-
EU work permit required: Yes
col-narrow-right
Job Views: 4
Posted: 16.06.2025
Expiry Date: 31.07.2025
col-wide
Job Description: Synechron is looking for a Senior Data Engineer to join their Data and AI Practice to work on a multi - year, AI programme of work within a leading financial institution.
Role Overview:
We are seeking a talented Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. Your work will ensure reliable, efficient, and secure data flow across systems, enabling advanced analytics, reporting, and business insights.
Key Responsibilities:
Develop and optimise data pipelines
Build and maintain data infrastructure on cloud platforms (Azure)
Collaborate with data scientists and analysts to support data workflows
Ensure data security, reliability, and performance at scale
Monitor and troubleshoot data pipelines and systems
Qualifications & Skills:
x5 + experience with Python programming for data engineering tasks
Strong proficiency in SQL and database management
Hands-on experience with Databricks and Apache Spark
Familiarity with Azure cloud platform and related services
Knowledge of data security best practices and compliance standards
Excellent problem-solving and communication skills
Multi-Year Project - Flexible Start Date - Competitive Rates - London based (x3 days in office)
Synechron's Diversity Statement
Synechron are proud to be an equal opportunity employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference' is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We offer flexible workplace arrangements, mentoring, internal mobility, learning and development programmes to support our global workforce. Empowerment and collaboration are at the core of how we operate.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

#J-18808-Ljbffr

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.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.