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For Companies At a Glance
- Tasks: Expand and optimise cloud-based data pipelines and build robust reporting tools.
- Company: Join Goldman Sachs, a leading global investment banking and management firm.
- Benefits: Enjoy competitive salary, wellness programs, and opportunities for personal and professional growth.
- Why this job: Make a real impact in a fast-paced environment with cutting-edge technology.
- Qualifications: 3+ years in data processing, strong Python skills, and experience with distributed data technologies.
- Other info: Diverse and inclusive culture with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
MORE ABOUT THIS JOB
Please note division and function examples are representative of opportunities common for this skill-set. The list is not exhaustive, and availability of open roles is determined based on business need. Specific roles will be confirmed through the interview process.
Your Impact
This Person Will Be responsible for expanding and optimizing our cloud based data pipeline architecture building robust data pipelines and reporting tools.
- 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 believe who you are makes you better at what you do. We’re committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process.
The Goldman Sachs Group, Inc., 2023. All rights reserved. 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 industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Research the company, understand their products, and be ready to discuss how your skills in data engineering can make an impact. Practice common interview questions and have your own questions ready to show your interest.
✨Tip Number 3
Showcase your projects! Whether it's a GitHub repo or a personal website, having tangible examples of your work can set you apart. Highlight any experience with cloud technologies or data pipelines that aligns with the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Goldman Sachs. Don’t hesitate – get your application in!
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, software engineering, and any relevant technologies like Python and SQL. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team at Goldman Sachs. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool projects or built scalable applications, make sure to mention them! We’re interested in seeing real examples of your work, especially if they involve cloud technologies or data pipelines.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re serious about joining our team at Goldman Sachs.
How to prepare for a job interview at Goldman Sachs
✨Know Your Data Inside Out
Make sure you brush up on your data processing skills and be ready to discuss your experience with distributed data technologies like Hadoop or Spark. Prepare examples of how you've built efficient data pipelines in the past, as this will show your practical knowledge.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle some technical questions that test your problem-solving abilities. Think of complex data issues you've resolved and explain your thought process clearly. This will demonstrate your analytical skills and attention to detail.
✨Familiarise Yourself with Cloud Technologies
Since the role involves cloud-based data architecture, make sure you understand the basics of AWS or Google Cloud. If you've worked on scalable applications in the cloud, share those experiences during the interview to highlight your relevant expertise.
✨Prepare for Behavioural Questions
Expect questions about how you work in a team and handle fast-paced environments. Reflect on your past experiences and think of specific examples that showcase your adaptability and collaboration skills. This will help you connect with the interviewers on a personal level.
