Data Engineer II - Databricks and Python

JPMorganChase
Glasgow
2 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer III

Data Engineer III

Data Engineer III

Data Engineer II - Decision Analytics in London - American Express Global Business Travel (GBT)

Data Engineer II - SQL,ETL and Analytics

Software Engineer III- Data Engineer, Java/Python

Join our innovative Digital Intelligence team at J.P. Morgan, where we leverage cutting‑edge technology to drive data‑driven decision‑making and enhance business performance. We are seeking a talented and motivated Databricks Data Engineer to join our team and contribute to our mission of transforming data into actionable insights.


As a Data Engineer II at JPMorgan Chase within the Digital Intelligence team, you will play a crucial role in designing, developing, and maintaining scalable data processing solutions using Databricks, Python, and AWS. You will collaborate with cross‑functional teams to deliver high‑quality data solutions that support our business objectives.


Job Responsibilities

  • Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
  • Create secure and high‑quality production code and maintain algorithms that run synchronously with appropriate systems.
  • Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
  • Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
  • Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture.
  • Contribute to software engineering communities of practice and events that explore new and emerging technologies.
  • Provide guidance to the immediate team of software engineers on daily tasks and activities.
  • Set the overall guidance and expectations for team output, practices, and collaboration.
  • Anticipate dependencies with other teams to deliver products and applications in line with business requirements.
  • Manage stakeholder relationships and the team's work in accordance with compliance standards, service level agreements, and business requirements.

Required Qualifications, Capabilities, and Skills

  • Formal training or certification on software engineering concepts and applied experience.
  • Hands‑on experience in data mapping, data architecture, and data modeling on Databricks.
  • Extensive experience in AWS, design, implementation, and maintenance of data pipelines using Python, PySpark on Databricks.
  • Proficient in Python and PySpark, able to write and execute complex queries to perform curation and build views required by end users (single and multi‑dimensional).
  • Strong understanding of front‑end and back‑end technologies, with a focus on creating seamless user experiences.
  • Extensive experience in Databricks data engineering, data warehousing concepts, ETL processes (Job Runs, Data Ingestion and Delta Live Tables, Spark Streaming).
  • Experienced in standing up and maintaining EC2/ECS instances, S3, Glue, and Lambda services.
  • Experience in building Notebooks with complex code structures and debugging failed jobs.
  • Proven experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck.
  • Proven ability to deliver high‑quality features into production systems in a rapid‑paced, iterative development environment.

Preferred Qualifications, Capabilities, and Skills

  • Experience with machine learning and data science workflows.
  • Familiarity with data visualization tools and techniques.
  • Knowledge of data governance and security best practices.
  • Experience in carrying out data analysis to support business insights.

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first‑class business in a first‑class way approach to serving clients drives everything we do. We strive to build trusted, long‑term partnerships to help our clients achieve their business objectives.


We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.


About the Team

J.P. Morgan Asset & Wealth Management delivers industry‑leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.


#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.

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.