At a Glance
- Tasks: Lead an agile team to develop and deliver innovative tech products using Python and Databricks.
- Company: Join J.P. Morgan, a global leader in financial services, serving top corporations and governments.
- Benefits: Enjoy a diverse workplace with opportunities for growth, remote work options, and competitive perks.
- Why this job: Make a real impact in tech while promoting diversity and inclusion in a dynamic environment.
- Qualifications: Advanced Python skills and experience with big data technologies like Spark and Databricks required.
- Other info: Be part of a team that values your unique talents and fosters a culture of respect.
The predicted salary is between 43200 - 72000 £ per year.
Be an integral part of an agile team that is constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorgan Chase within the Global Banking, Data, Analytics & Technology division, you will be dedicated to advancing, creating, and deploying high-quality technology products, prioritising security, stability, and scalability. Your profound technical knowledge and problem-solving skills will have a substantial impact on the business, as you address a variety of challenges across numerous technologies and applications.
Job Responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
- Develops secure and high-quality production code, and reviews and debugs code written by others.
- Drives decisions that influence the product design, application functionality, and technical operations and processes.
- Serves as a function-wide subject matter expert in one or more areas of focus.
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies.
- Adds to the team culture of diversity, equity, inclusion, and respect.
Required Qualifications, Capabilities, And Skills
- Formal training or certification on software engineering concepts and proficient advanced experience.
- Hands-on practical experience delivering system design, application development, testing, and operational stability.
- Advanced in one or more programming language(s), Python is required.
- Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
- Ability to tackle design and functionality problems independently with little to no oversight.
- Experience performing data analytics on AWS platforms.
- Experience in writing efficient SQLs, implementing complex ETL transformations on big data platform.
- Experience in Big Data technologies (Spark, Impala, Hive, Redshift, Kafka, etc.).
- Experience in data quality testing; adept at writing test cases and scripts, presenting and resolving data issues.
- Experience with Databricks, Snowflake, Iceberg are required.
Preferred Qualifications, Capabilities, And Skills
- Experience in application and data design disciplines with an emphasis on real-time processing and delivery e.g. Kafka is preferable.
- Understanding of the Commercial & Investment Bank business will be useful.
- Proficiency across the full range of database and business intelligence tools; publishing and presenting information in an engaging way is a plus.
- Financial Services and Commercial and Investment Banking experience is a plus.
- Familiarity with NoSQL database platforms (DynamoDB, Cassandra) is a plus.
- Familiarity with relational database environment (Oracle, SQL Server, etc.) leveraging databases, tables/views, stored procedures, agent jobs, etc.
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 recognise 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’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Senior Lead Software Engineer -Python and Databricks employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Lead Software Engineer -Python and Databricks
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, Databricks, and Big Data technologies like Spark and Kafka. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Engage with the engineering community by contributing to open-source projects or forums related to software development and data analytics. This not only enhances your skills but also demonstrates your commitment to continuous learning and collaboration, which is highly valued in agile teams.
✨Tip Number 3
Network with current employees at JPMorgan Chase or within the financial services sector. Attend industry meetups or webinars where you can connect with professionals who can provide insights into the company culture and potentially refer you for the position.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design problems relevant to the role. Focus on demonstrating your problem-solving skills and ability to write clean, efficient code, as these are crucial for a Senior Lead Software Engineer.
We think you need these skills to ace Senior Lead Software Engineer -Python and Databricks
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Databricks, and any relevant big data technologies. Use specific examples of projects where you've demonstrated your technical skills and problem-solving abilities.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with the job responsibilities, particularly your experience in software engineering and your ability to work within an agile team.
Showcase Relevant Projects: Include a section in your application that details specific projects you've worked on that relate to the job description. Highlight your contributions, the technologies used, and the outcomes achieved, especially in areas like data analytics and application development.
Highlight Soft Skills: Don't forget to mention your soft skills, such as teamwork, communication, and leadership. These are crucial for a Senior Lead Software Engineer role, especially when influencing peers and contributing to team culture.
How to prepare for a job interview at JPMorganChase
✨Showcase Your Technical Expertise
As a Senior Lead Software Engineer, it's crucial to demonstrate your advanced knowledge in Python and Databricks. Be prepared to discuss specific projects where you've applied these technologies, highlighting your problem-solving skills and the impact of your contributions.
✨Prepare for Technical Questions
Expect in-depth technical questions related to software engineering concepts, system design, and data analytics on AWS platforms. Brush up on your knowledge of big data technologies like Spark and Kafka, as well as SQL and ETL processes, to confidently tackle these queries.
✨Emphasise Team Collaboration
Since the role involves working within an agile team, be ready to share examples of how you've collaborated with others in previous roles. Discuss how you’ve influenced project decisions and contributed to a positive team culture, especially regarding diversity and inclusion.
✨Demonstrate Your Passion for Innovation
JPMorgan Chase values leading-edge technologies. Share your thoughts on emerging trends in software development and how you've implemented innovative solutions in your past work. This will show your commitment to staying ahead in the tech landscape.