At a Glance
- Tasks: Build scalable data solutions and improve data quality for global supply chains.
- Company: Join Altana, a leader in sustainable and secure global commerce.
- Benefits: Hybrid work flexibility, personal development, and a collaborative team environment.
- Other info: Diverse workplace with opportunities for growth and learning.
- Why this job: Make a real impact on global supply chains while tackling climate change and inequality.
- Qualifications: 3+ years in data engineering or analysis, programming skills in Python, and SQL experience.
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
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 — ETL, Data Quality for Global Supply Chain employer: Altana AI
At Altana, we are dedicated to fostering a collaborative and innovative work environment where every team member can thrive. Our commitment to engineering excellence and personal development ensures that you will have ample opportunities to grow your skills while contributing to meaningful projects that address global challenges. With hybrid work flexibility in vibrant locations like New York and London, you will enjoy a supportive culture that values diversity and inclusivity, making Altana an exceptional place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer — ETL, Data Quality for Global Supply Chain
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving ETL processes or data quality improvements. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you've tackled challenges in data acquisition and analysis. Confidence is key!
✨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 our team at Altana.
We think you need these skills to ace Data Engineer — ETL, Data Quality for Global Supply Chain
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Engineer role. Highlight your programming skills, especially in Python, and any experience with ETL pipelines or data quality improvements.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data and how you can contribute to our mission at Altana. Share specific examples of past projects that demonstrate your analytical skills and problem-solving abilities.
Showcase Your Collaboration Skills:Since we value teamwork, mention any experiences where you've successfully collaborated with cross-functional teams. This could be working with software engineers or machine learning teams to implement scalable solutions.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
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 Programming Skills
Since programming in Python is a key requirement, make sure you can demonstrate your coding abilities. Prepare to solve coding challenges or explain your thought process on how you would approach a data problem using Python during the interview.
✨Familiarise Yourself with Cloud Services
Altana values experience with cloud services like AWS, Azure, or GCP. Research these platforms and be prepared to discuss how you've used them in past roles, particularly in relation to data ingestion and pipeline management.
✨Communicate Clearly and Collaboratively
Given the collaborative nature of the role, practice articulating your thoughts clearly. Think of examples where you've worked with cross-functional teams to solve data-related issues, and be ready to share how you envision improving existing processes at Altana.
