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- Tasks: Design and implement scalable data solutions to enhance cybersecurity.
- Company: Join J.P. Morgan, a global leader in financial services.
- Benefits: Competitive salary, diverse culture, and opportunities for growth.
- Why this job: Make a real impact on cybersecurity while working with cutting-edge technologies.
- Qualifications: Experience in SQL, Python, and Big Data technologies required.
- Other info: Collaborative environment focused on diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Join to apply for the Security Engineer III – Data Engineer role at JPMorganChase
As a Data Engineer at JPMorgan Chase within the Cybersecurity and Technology Controls, you\’\’ll leverage your skills to develop and implement robust data solutions using cutting-edge technologies. You\’\’ll play a critical role in analyzing complex data structures, ensuring data accuracy, and enhancing our security analytics capabilities. Collaborate with cross-functional teams to drive innovation, implement scalable solutions, and protect our digital assets. Your contributions will be pivotal in shaping the future of cybersecurity, fostering a culture of excellence, and ensuring the integrity and security of our data infrastructure.
Responsibilities
- Design and implement complex, scalable solutions to efficiently process large volumes of data, ensuring consistent and timely delivery and availability.
- Troubleshoot and resolve complex issues related to data architecture, including data ingestion, indexing, and search performance.
- Create reusable frameworks with a strong emphasis on quality and long-term sustainability.
- Collaborate with key partners to enhance understanding of data usage within the business.
- Serve as a subject matter expert on the content and application of data in the product and related business areas.
- Integrate data from multiple sources, including structured, semi-structured, and unstructured data.
- Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of the data.
- Analyze complex data structures from various security data sources and scale data engineering pipelines.
- Perform all Data Engineering job activities, including ELT project development, testing, and deployment activities.
- Document data engineering processes, workflows, and systems for reference and knowledge-sharing purposes.
- Add to team culture of diversity, opportunity, inclusion, and respect.
Required Qualifications, Capabilities, And Skills
- Formal training or certification on SQL concepts and proficient applied experience.
- Proficient in database management, with experience in both relational databases (SQL) and NoSQL databases.
- Experience with Python and SQL.
- Expertise in Python and Java development.
- Extensive experience with Big Data technologies, including Spark, Hive, Redshift, Kafka, and others.
- Strong understanding of ETL/ELT frameworks and tools, including DBT, Apache Airflow, Trino, Kestra, or similar technologies.
- Hands-on experience in data pipelines and ETL/ELT processes using Python and SQL.
- Experience with Kafka data streaming or other streaming/messaging services like Kinesis, SNS, SQS.
- Demonstrated experience developing, debugging, and tuning complex SQL statements.
- Experience working on real-time and streaming applications.
- Exceptional understanding of distributed systems and cloud platforms.
- Skilled in working with data streaming platforms such as Apache Flink and Apache Kafka.
- Expertise in performing data transformations to enhance data quality and usability.
- Comprehensive knowledge of the Software Development Life Cycle.
- Solid grasp of agile methodologies, including CI/CD, application resiliency, and security best practices.
Preferred Qualifications, Capabilities, And Skills
- Relevant industry experience, preferably in a data engineering role focused on threat detection and security analytics.
- Experience with advanced data streaming and transformation tools.
- Experience with Kubernetes for container orchestration is a plus.
- Experience onboarding datasets to Splunk, ensuring CIM compliance.
- Be a team player and work collaboratively with team members.
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.
Seniority level
- Not Applicable
Employment type
- Full-time
Job function
- Information Technology
Location: Bournemouth, England, United Kingdom
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Security Engineer III - Data Engineer employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Security Engineer III - Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at JPMorgan Chase. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data engineering projects. This gives you a chance to demonstrate your expertise in Python, SQL, and those Big Data technologies we all love.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with ETL processes and data pipelines, as well as how you’ve tackled complex data issues in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at JPMorgan Chase.
We think you need these skills to ace Security Engineer III - Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Security Engineer III - Data Engineer role. Highlight your experience with SQL, Python, and any relevant Big Data technologies. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific projects where you've implemented data solutions or tackled complex data issues. This gives us a clear picture of your hands-on experience and problem-solving abilities in real-world scenarios.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate straightforward communication!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at JPMorganChase
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like SQL, Python, and Big Data tools. Brush up on your knowledge of Kafka, Spark, and ETL processes, as these will likely come up during technical questions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering. Think about complex issues you've resolved related to data architecture or performance, and be ready to explain your thought process and the solutions you implemented.
✨Demonstrate Collaboration
Since this role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated with others. Highlight any experiences where you enhanced understanding of data usage within a business context.
✨Emphasise Quality and Sustainability
Talk about your approach to creating reusable frameworks and ensuring data quality. Discuss any validation processes you've implemented to maintain data accuracy and consistency, as this aligns with the company’s focus on long-term sustainability.
