At a Glance
- Tasks: Build scalable data solutions to tackle global challenges like climate change and inequality.
- Company: Join Altana, a pioneering platform transforming global supply chains for a better future.
- Benefits: Enjoy hybrid work flexibility, competitive salary, and opportunities for personal growth.
- Other info: Collaborative culture focused on diversity, creativity, and professional development.
- Why this job: Make a real impact on global commerce while working with cutting-edge data technologies.
- Qualifications: 3+ years in data engineering or analysis, strong programming skills, and cloud service knowledge.
The predicted salary is between 60000 - 80000 £ per year.
To solve climate change, wealth inequality, supply chain stability, and national security we must change how our global supply chains work. Altana is a Trusted Commerce Platform built on a shared source of truth for the global supply chain. The purpose of Altana is to enable resilient, sustainable, secure, and inclusive global commerce: Globalization 2.0.
We have built a layer of shared intelligence across the world’s supply chain information: a living map of trillions of dollars of B2B commercial activity, covering 400M companies connected by billions of shipments. This knowledge graph powers Altana’s Trusted Commerce Platform - the Altana Atlas.
Our product suite enables our customers to gain unprecedented visibility, benefit from shared artificial intelligence across a federated network of data, and interact across the network through a shared source of truth. We help our customers to build and manage trusted global supply chains.
The Implementation/Data Operations team is looking for talented Data Engineers who are passionate about data and all things related to data products and visibility. We are searching for individuals who are excited to build scalable solutions for our ever growing data needs, and are motivated by delivering functional data products for our internal teams and end users. You’ll be a major contributor to data acquisition and ingest processes, including dataset evaluation, ETL pipelines, and continuous data quality improvements. Your work will enable teams across the company to utilize newly incoming data, while partnering with software engineering and machine learning teams to implement scalable processes and define handover points.
Responsibilities
- Contribute to the development, deployment, and maintenance of pipelines to extract, transform and load incoming data from a variety of 3rd party sources
- Analyze and evaluate new and existing data sources and provide recommendations regarding data quality and utility
- Communicate with teams across the organization to ensure the success of data ingest deliverables, identify pain points, and envision improvements to existing processes
- Collaborate with the overall engineering organization and contribute to the existing codebase
- Help maintain ETL pipeline architecture and systems documentation
- Follow engineering best practices
About You
- 3+ years of experience as a Sr Data Analyst, Data Engineer or a similar role, or education equivalent
- Programming skills are required, preferably in Python
- Experience with SQL and relational databases
- Experience with data analysis, data warehousing, and knowledge of ETL pipelines
- Excellent analytical skills, deadline-focused, detail-oriented, well organized, and self-motivated
- Experience with code versioning tools (e.g. git)
- Working knowledge of cloud services like AWS, Azure, or GCP
- You are committed to collaboration, knowledge-sharing, and expanding your engineering and analytical skill set to fit the needs of the team
- You have strong written and verbal communication skills
Nice to have, but not required
- Experience in a big data processing framework such as Spark
- Experience with different data lake technologies (AWS Data Lake, Azure Data Studio,...)
This role can be based in New York or London (UK) with hybrid work flexibility and candidates must be within commuting distance from our Hub offices.
Why it’s great to work at Altana
- We love to collaborate, and we win as a team!
- We are committed to engineering excellence
- We value personal and professional development
- We learn from diverse backgrounds and perspectives
- We impact the world, from enabling developing countries to identifying drug traffickers
At Altana, we believe that a diverse workforce enables greater creativity, performance, and adaptability. We’re proud to be an equal opportunity employer and welcome you to join us as you are. Our employment opportunities and decisions are based on business needs and individual qualifications, without regard to race, color, religious creed, national origin, ancestry, age, physical or mental disability, medical condition, marital status, sexual orientation, gender identity or expression, genetic information, family care or medical leave status, military or veteran status, or any other characteristic protected by the laws or regulations in the areas in which we operate. We prohibit discrimination and harassment of any type, in any situation.
Data Engineer employer: Altana AI
At Altana, we are dedicated to fostering a collaborative and innovative work environment where Data Engineers can thrive. With a strong commitment to personal and professional development, our team members enjoy the flexibility of hybrid work arrangements in vibrant locations like New York and London. Join us to make a meaningful impact on global supply chains while working alongside diverse talents in a culture that values creativity and inclusivity.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Altana on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice coding challenges and be ready to discuss your past projects. We want to see how you think and solve problems, so show us your thought process!
✨Tip Number 3
Don’t forget to showcase your passion for data! During interviews, share specific examples of how you've used data to drive decisions or improve processes. We love to see candidates who are genuinely excited about what they do.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team at Altana. Let’s make an impact together!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let your enthusiasm for data shine through! We want to see how excited you are about building scalable solutions and improving data visibility. Share any relevant projects or experiences that highlight your passion.
Tailor Your Application:Make sure to customise your application to fit the role of Data Engineer at Altana. Highlight your experience with ETL pipelines, data analysis, and any programming skills you have, especially in Python. This will show us that you understand what we're looking for!
Be Clear and Concise:We appreciate clarity in applications. Keep your writing straightforward and to the point. Use bullet points if necessary to make your skills and experiences stand out. Remember, we’re looking for detail-oriented candidates, so show us you can communicate effectively!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Altana AI
✨Know Your Data Inside Out
Before the interview, dive deep into your understanding of data engineering concepts, especially ETL processes and data quality. Be ready to discuss specific projects where you've implemented these skills, as this will show your practical experience and passion for data.
✨Brush Up on Your Coding Skills
Since programming skills in Python are a must, make sure you can demonstrate your coding abilities. Practice common data manipulation tasks and be prepared to solve coding challenges during the interview. This will help you stand out as a candidate who is technically proficient.
✨Communicate Clearly and Effectively
Given the collaborative nature of the role, practice articulating your thoughts clearly. Prepare to explain complex data concepts in simple terms, as you'll need to communicate with various teams. Good communication can set you apart from other candidates.
✨Show Enthusiasm for Collaboration
Altana values teamwork, so express your excitement about working with others. Share examples of how you've successfully collaborated in past roles, particularly in data projects. This will demonstrate that you're not just a lone wolf but a team player who thrives in a collaborative environment.
