Lead Data Engineer

EMEA (Remote)

Everstream Analytics

Everstream sets the world's supply chain standard, using predictive analytics, human insights, and eyes everywhere to make supply chains smarter.

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We keep the world moving by keeping risk out of the way.

Everstream Analytics risk scores and predictive insights set the world’s supply chain standard, helping global companies turn supply chains into business-changing, market-shifting, competition-crushing assets. Removing the traditional blinders of traditional data – we offer more complete information, sharper analysis, and accurate predictions. Companies like Google, Schneider Electric, Unilever, and Campbell’s rely on Everstream Analytics to push their supply chains to be faster, smarter, safer, and sustainable!

What Matters Most to Everstreamers

Doing our best, no matter what challenges lie in front of us. We’re sharp, focused, determined, and as a team, we’re unstoppable. Of course, we have values like “integrity” and “honesty”—that’s a given—but our core values run deeper:

Audacity | We are bold. We break through the status quo and do what others haven’t, can’t or won’t

Grit | We get the job done and keep going, so our customers can do the same

Optimism | We have a can-do attitude, and instead of saying “no”, we figure out how

Virtue | We do what’s right, the right way—especially when it’s difficult

Solidarity | When we celebrate each other and our differences, we all do better

 

About Us:

Everstream Analytics is a technology-driven company that is revolutionizing Supply Chain Risk Analytics. We’re looking for a talented and experienced Lead Data Engineer to join our team.

What You’ll Do:

  • Management: Manage and grow a remote team of data engineers based in Europe.
  • Architect Data Solutions: Collaborate with Platform and Data Architecture teams to deliver robust, scalable, and maintainable data pipelines.
  • Lead Data Initiatives: Lead and own data engineering projects, including data ingestion, transformation, and storage.
  • Real-Time Data Processing: Develop and optimize real-time data processing pipelines using technologies like Apache Kafka/MSK or similar.
  • Data Lakehouse and ETL: Design and implement data lakehouses and ETL pipelines using AWS services like Glue or similar.
  • Data Modeling and Optimization: Create efficient data models and optimize database queries for optimal performance.
  • Collaborate with Stakeholders: Work closely with data scientists, product managers, and engineers to understand data requirements and translate them into technical solutions.
  • Mentor and Guide: Mentor junior data engineers and share your expertise. Establish and promote best practices.

What You’ll Need:

  • Strong Python Proficiency: Deep understanding of Python, including data manipulation and analysis libraries like Pandas and NumPy or similar.
  • Data Engineering Expertise: Extensive experience in data engineering, including ETL, data warehousing, and data pipelines.
  • Cloud Platform Proficiency: Strong knowledge of AWS services, such as RDS, Lake Formation, Glue, Spark, etc.
  • Real-Time Data Processing: Experience with real-time data processing frameworks like Apache Kafka/MSK.
  • Database Skills: Proficiency in SQL and NoSQL databases, including PostgreSQL, Opensearch, and Athena.
  • Data Modeling: Ability to design efficient and scalable data models.
  • Problem-Solving and Analytical Skills: Strong analytical skills to identify and solve complex data problems.
  • Collaboration Skills: Excellent communication and collaboration skills to work effectively with cross-functional teams.

Why Join Us:

  • Impactful Work: Contribute to data-driven decision-making and product innovation.
  • Collaborative Culture: Work with a talented, passionate team from across the world.
  • Continuous Learning: Opportunities to learn new technologies and skills.
  • Competitive Compensation: A competitive salary and benefits package.

We are looking for a hands-on Lead data engineer who is passionate about data, enjoys solving complex problems, and is excited to build and lead scalable data teams and solutions.

100% Remote Position

#LI-

Thanks to our remarkable people we are at the forefront of change and bringing cutting-edge products and services to market. We focus on growth, so our people, our business, and our customers can achieve their full potential.  It takes determination, focus, and resilience to scale a high-growth, global business. We're looking for people intrinsically driven to create, build, solve, and push boundaries to deliver the unrivaled innovation and service our clients know and love. Everstreamers aren't afraid of ambiguity, changing priorities, shifting org structures, or pivoting to new strategies. They thrive on change and put in the effort to achieve the seemingly impossible. It isn't always easy, but it's always worth it. Does this sound like you? Grow your career at Everstream.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Athena AWS Data pipelines Data Warehousing Engineering ETL Kafka Lake Formation NoSQL NumPy OpenSearch Pandas Pipelines PostgreSQL Python Spark SQL

Perks/benefits: Career development Competitive pay Startup environment

Regions: Remote/Anywhere Africa Europe Middle East

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