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585 postes de

Python à United States

Data Engineer II - Databricks and Python

JPMorgan Chase & Co.

Glasgow
Sur place
GBP 60 000 - 80 000
Il y a 2 jours
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Physics Expert with Python - Freelance AI Trainer

Mindrift

Grande-Bretagne
À distance
GBP 60 000 - 80 000
Il y a 2 jours
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Lead Software Engineering - Python / AWS / MLOps

JPMorganChase

City Of London
Sur place
GBP 70 000 - 90 000
Il y a 2 jours
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Front Office Developer (C++/C#/Java/Python)

MARGO

City Of London
Sur place
GBP 60 000 - 80 000
Il y a 2 jours
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Lead Software Engineer - Python

JPMorganChase

City Of London
Sur place
GBP 70 000 - 90 000
Il y a 2 jours
Soyez parmi les premiers à postuler
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Senior Lead Software Engineer - Python / Java

JPMorganChase

City Of London
Sur place
GBP 70 000 - 100 000
Il y a 2 jours
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Python Engineer (Belfast Hybrid)

IO Associates Limited

Belfast
Hybride
GBP 65 000 - 70 000
Il y a 2 jours
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Java/Python Engineer (AVP)

Citigroup Inc.

City Of London
Hybride
GBP 150 000 - 200 000
Il y a 2 jours
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Data Engineer Data Science/Java/Python/Unix

NLP PEOPLE

City Of London
Sur place
GBP 80 000 - 100 000
Il y a 2 jours
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Senior Lead Software Engineer - Python/AWS/Databricks

JPMorganChase

City Of London
Sur place
GBP 90 000 - 120 000
Il y a 2 jours
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Senior Python DL Automation Engineer, Deep Learning Algorithms

PL01 Nvidia Poland sp. z o.o.

Grande-Bretagne
À distance
GBP 60 000 - 80 000
Il y a 2 jours
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Software Engineer III - Python

JPMorganChase

City Of London
Sur place
GBP 60 000 - 80 000
Il y a 2 jours
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Lead Software Engineer - Python

JPMorganChase

Glasgow
Sur place
GBP 60 000 - 80 000
Il y a 3 jours
Soyez parmi les premiers à postuler

Data Engineer II - Databricks and Python

JPMorganChase

Glasgow
Sur place
GBP 40 000 - 60 000
Il y a 3 jours
Soyez parmi les premiers à postuler

Python Developer

Understanding Recruitment

City Of London
Sur place
GBP 150 000 - 180 000
Il y a 3 jours
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Python Developer Tools Engineer- World-Leading Prop Trading Fund

Oxford Knight

City Of London
Sur place
GBP 80 000 - 100 000
Il y a 3 jours
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Senior Python Developer in London - bondex app

WorksHub

City Of London
Sur place
GBP 80 000 - 100 000
Il y a 3 jours
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Hedge Fund Operations Analyst – (Python Exp. Required)

One Ten Associates

City Of London
Sur place
GBP 40 000 - 60 000
Il y a 3 jours
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Senior Python Developer

LinuxRecruit

City Of London
Sur place
GBP 45 000 - 55 000
Il y a 3 jours
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https:/www.squareoneresources.com/job/python-golang-engineer-with-aws-130333-1759305845

Square One Resources

Birmingham
Hybride
GBP 80 000 - 100 000
Il y a 3 jours
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Senior Application Engineer (Python/Javascript/React)

Clearwater Analytics

City Of London
Sur place
GBP 60 000 - 80 000
Il y a 3 jours
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Senior Software Engineer - Python

Admiral Group Plc

Cardiff
Hybride
GBP 50 000 - 80 000
Il y a 3 jours
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Software Engineer C++ Python

Capgemini Engineering

Stevenage
Sur place
GBP 40 000 - 45 000
Il y a 3 jours
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Python, Golang, And Public Cloud Platforms (AWS/GCP) Engineer

eTeam Workforce Limited

Birmingham
Hybride
GBP 60 000 - 80 000
Il y a 3 jours
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MMM Data Scientist -, Bayesian, Python, Pymc

Ventula Consulting Limited

Weybridge
Hybride
GBP 100 000 - 125 000
Il y a 3 jours
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Data Engineer II - Databricks and Python
JPMorgan Chase & Co.
Glasgow
Sur place
GBP 60 000 - 80 000
Plein temps
Il y a 3 jours
Soyez parmi les premiers à postuler

Résumé du poste

A global financial services firm in Glasgow seeks a talented Data Engineer to join their Digital Intelligence team. This role focuses on designing and maintaining scalable data processing solutions using Databricks, Python, and AWS. The ideal candidate will have extensive experience in data engineering, excellent problem-solving skills and collaborate with cross-functional teams to enhance business performance.

Qualifications

  • Hands-on experience with data mapping, data architecture, and data modeling on Databricks.
  • Extensive experience in design, implementation, and maintenance of data pipelines using Python and PySpark.
  • Proven experience in delivering high-quality features into production systems.

Responsabilités

  • Design, develop, and maintain scalable data processing solutions using Databricks, Python, and AWS.
  • Execute software solutions, design, development, and technical troubleshooting.
  • Gather, analyze, and synthesize data from large, diverse data sets.

Connaissances

Databricks
Python
AWS
PySpark
Data Mapping
Data Architecture
Data Modeling
Data Warehousing

Formation

Formal training or certification in software engineering concepts

Outils

EC2
S3
Glue
Lambda
Description du poste

Job Description

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.

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.

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* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.

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