Senior Data Engineer, Hive
+ Virtual employee stock options
Operations platform for independent commerce
Open for applications
Operations platform for independent commerce
201-500 employees
Open for applications
+ Virtual employee stock options
201-500 employees
Company mission
To be the operational brain of your D2C company, so that you can focus on other aspects of your business.
Role
Who you are
- You have the skills: Strong proficiency in SQL and experience with OLTP and OLAP databases. Experience with real-time, pub-sub data use-cases and data-lake technologies is a plus
- You get into the details: Hands-on experience with cloud platforms like AWS, data ingestion tools and processes, data transformation and modelling techniques, and analytical platforms like Mode, Metabase, or Tableau
- You write code: Proficiency in an object-oriented programming language such as Python, and experience managing data infrastructure via IaC tools like Terraform and CI/CD processes with GitHub Actions
- You know the theory, and the practice: Solid understanding of data warehousing concepts and best practices
- You care about the craft: Excellent problem-solving skills and high attention to detail
- You bring people along: Strong communication skills and the ability to work collaboratively in an agile team environment
What the job involves
- You’ll join as a data engineer, helping power our business, serve our customers better, and drive our data infrastructure
- Some exemplary topics of what we expect a data engineer to cover is below — an important note is that we’re not looking for someone that purely optimises the technical aspects of what they’re doing, but that they’re doing it with their users (engineers, data analysts, PMs, …) and our customers in mind
- Design, develop, and maintain scalable data pipelines and processes to support data ingestion, transformation, and storage using OSS and cloud technologies and tools like Redshift, Kinesis, dlthub, Spark, Iceberg, Sagemaker
- Design, build, test, document, and maintain data models that support business requirements and enable customer-facing and operational analytics to support data-driven decision making around our Warehouse Management Software and SaaS features
- Architect and optimise cloud infrastructure to support data-driven initiatives such as A/B testing features, event tracking, and experimentation
- Contribute to and enhance our monitoring and observability setup (Grafana, Prometheus, Cloudwatch) to improve system visibility, alerting, and existing service level metrics
- Continuously improve the data architecture, adopt new technologies, and stay aligned with the latest industry trends
- Hive is building the leading operations platform for independent commerce and uses our data platform foundations as a key enabler to enhance the value of our multi-product offering. Better commerce operations for merchants, consumers, and our fulfilment network
- What you’ll be doing:
- Data pipeline development: Redesign, build, and optimise ETL processes to reduce latency and improve performance for near real-time analytical use cases
- Analytics enhancement: Guide data analysts to develop new data models and reporting solutions in Metabase, providing actionable insights
- Scalable data analytics setup: Help shape and advance a scalable analytics solution to handle increasing data volumes and complex queries efficiently
- Data quality and consistency: Ensure comprehensive data quality and accuracy across all pipelines
- Integration with product infrastructure: Work with engineering teams to integrate data solutions with our product stack, enabling seamless data flow and enhancing our capabilities across the entire platform
- Collaboration across the business: Assess stakeholder needs across the Hive organisation to drive decision-making and technical approaches proactively, ensuring different use cases are covered properly and thoroughly
- Be part of the Hive: You will work with a highly driven team of exceptional and experienced people in all domains. People at Hive have worked at organisations such as McKinsey, Amazon, Shopify, Google, Flink, Blackstone, J.P. Morgan & DHL before. We believe in a culture of trust, collaboration, empowerment, and constructive feedback in a positive and inspiring work atmosphere
- Make an impact: Join a young company with an entrepreneurial culture operating at lightning speed — we want you to grow with us
Our take
Streamlining commerce operations requires the participation of various departments, which can complicate the purchase-to-delivery cycle and lead to delays. Hive’s platform helps to streamline commerce operations through a network of operations providers.
Hive’s Warehouse Management System works in tandem with its Transport Management System to organise and economise the operations of eCommerce businesses. Importantly, its network of solutions means that users can give their customers an accurate delivery date from the moment of purchase online. This leads to a better experience that can help foster loyalty and support repeat purchases.
This is an attractive proposition, especially as eCommerce begins to take over from the high street and consumer expectations continue to rise. Investors have recognised this potential in Hive, which intends to use its latest funding round to accelerate growth and product development, with the aim to reach profitability by 2025.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Jun 2024
$21.2m
SERIES A
Nov 2021
$33.8m
SERIES A
Total funding: $62.7m
Company benefits
- Virtual employee stock options for all full-time team members
- Operating system and hardware of your choice (plus additional tech equipment that you need, screens, you name it)
- 30 vacation days annually, with the opportunity for a sabbatical after three years with us
- Dedicated monthly wellness and productivity budget
Company HQ
Mitte, Berlin, Germany
Leadership
Franz Purucker
(Managing Director)Previously worked in Strategy and Consulting at McKinsey & Company. Was also an Investment Banker at JP Morgan and worked in Venture Development at Rocket Internet.
Leonard Von Kleist
(CTO)Previously Risk Advisory Intern at Deloitte, ML Engineer at Araneum Technologies and Hybrid Mobile Developer at LivingTech.
Oscar Ziegler
(CEO)Previously Junior Engagement Manager at McKinsey & Company. Was also Head of Logistics (HK) at foodpanda and was a Google Student Ambassador.
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