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For Companies At a Glance
- Tasks: Expand and optimise cloud-based data pipelines and reporting tools.
- Company: Join Goldman Sachs, a leading global investment banking firm.
- Benefits: Diverse opportunities for growth, training, and a supportive work environment.
- Why this job: Make an impact in finance with cutting-edge technology and innovative projects.
- Qualifications: 3+ years in data processing, strong Python skills, and problem-solving mindset.
- Other info: Fast-paced environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Goldman Sachs is seeking an Associate-level Software Engineer to join the Asset & Wealth Management division in Birmingham.
Your Impact
- Responsible for expanding and optimizing our cloud based data pipeline architecture
- Building robust data pipelines and reporting tools
Basic Qualifications
- 3+ years of experience in data processing & software engineering and can build high-quality, scalable data oriented products
- Experience on distributed data technologies (e.g. Hadoop, MapReduce, Spark, EMR, etc.) for building efficient, large-scale data pipelines
- Strong Software Engineering experience with in-depth understanding of Python
- Strong understanding of data architecture, modeling and infrastructure
- Experience with building workflows (ETL pipelines)
- Experience with SQL and optimizing queries
- Problem solver with attention to detail who can see complex problems in the data space through end to end
- willingness to work in a fast paced environment
- MS/BS in Computer Science or relevant industry experience
Preferred Qualifications
- Experience building scalable applications on the Cloud (Amazon AWS, Google Cloud, etc.)
- Experience building stream-processing applications (Spark streaming, Apache-Flink, Kafka, etc.)
About Goldman Sachs
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We’re committed to fostering and advancing diversity and inclusion in our workplace and beyond by ensuring every individual has opportunities to grow professionally and personally, with training, development opportunities and firmwide networks. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more at GoldmanSachs.com/careers.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
Asset & Wealth Management - Data Engineer - Associate - Birmingham employer: Goldman Sachs
Contact Detail:
Goldman Sachs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Asset & Wealth Management - Data Engineer - Associate - Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in the Asset & Wealth Management space, especially those at Goldman Sachs. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or projects that highlight your data engineering prowess, make sure to share them during interviews. It’s a great way to demonstrate your experience with tools like Hadoop and Spark.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice coding challenges and be ready to discuss your problem-solving approach. We all know how important it is to impress with your technical know-how!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Goldman Sachs team.
We think you need these skills to ace Asset & Wealth Management - Data Engineer - Associate - Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Data Engineer. Highlight your experience with data processing, cloud technologies, and any relevant projects that showcase your skills in building scalable data pipelines.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the Asset & Wealth Management sector and how your background makes you a perfect fit for the team at Goldman Sachs.
Showcase Your Technical Skills: Don’t forget to emphasise your technical expertise, especially in Python, SQL, and distributed data technologies. Mention specific tools and frameworks you've worked with to demonstrate your hands-on experience.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets the attention it deserves!
How to prepare for a job interview at Goldman Sachs
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, and distributed data technologies. Brush up on your knowledge of Hadoop, Spark, and cloud platforms like AWS or Google Cloud. Being able to discuss your experience with these tools confidently will show that you're a strong fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data problems. Think about how you approached the issue, the steps you took, and the outcome. This will demonstrate your analytical skills and attention to detail, which are crucial for a Data Engineer.
✨Understand the Company Culture
Familiarise yourself with Goldman Sachs' commitment to diversity and inclusion. Be ready to discuss how you can contribute to this culture. Showing that you align with their values can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and the company’s future direction in asset and wealth management. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
