👨🏻‍💻 postech.work

Senior Data Engineer

EcoOnline • 🌐 In Person • 💵 $31,750 - $98,750

In Person Posted 1 day, 10 hours ago

Job Description

Want to be a part of a company that’s making a difference?

We’re a growing global tech company, with huge potential for curious and caring minds, committed to each other, to deliversolutions that protect people and the planet for future generations. Our team of experts are focused on creating meaningful impact and making a real difference for our customers.

Impact: A strong connection to our mission through product, customer and impact is essential. We protect people and the planet by helping businesses mitigate risks and create safer, healthier workplaces.

Innovation: Trusted by over 11,000 customers, you’ll have the chance to work with industry experts and thought leaders, dedicated to driving positive change. We believe in fostering a trusting environment that empowers our team to grow, innovate, and succeed.

Growth: Connect commercial growth to personal growth opportunities. Benefit from a wide range of learning opportunities for ambitious professionals seeking development in a rapidly expanding sector.

We're on a mission to protect people and the planet by building and deploying transformative software. We need everyone's energy and commitment, regardless of region or rank, to make that mission a reality for millions more customers.

Our culture code, a set of principles that underpins our values, is our commitment to each other and working better together.

Join EcoOnline and be part of a mission dedicated to driving positive change. Read on to learn more about the opportunity and how you can have a positive impact!

About the Role

You’ll have the opportunity to shape a global data platform that directly supports products used to improve health, safety, and sustainability outcomes worldwide. The role offers strong technical ownership, real influence over data architecture and standards, and close collaboration with product and domain leaders.

You’ll work with modern AWS cloud and data technologies, contribute to AI-enabled initiatives, and be part of a team that values pragmatism, quality, and continuous improvement. Most importantly, your work will have visible impact across the organisation.

This role will play a key part in evolving our central AWS data platform. In addition to maintaining existing pipelines, you will help design and implement scalable ingestion and transformation pipelines that support a future unified data platform across all products. The role works closely with Analytics Engineers, Platform Engineers, and the Architecture Review Board to build reliable, scalable data foundations for analytics and AI.

Key Responsibilities:

Design, build, and operate robust, scalable, and secure data pipelines and infrastructure, meeting defined performance, availability, and governance standards across the data stack

Take hands-on ownership of data pipeline development, including batch and streaming workloads, from ingestion through to consumption

Ensure consistently high standards of data quality, reliability, and availability across all data platforms

Enable analytics and AI use cases through well-designed, well-governed data foundations and reusable data patterns

Partner closely with Analytics Engineers and Data Analysts to support the creation of reliable, business-aligned datasets and models

Collaborate with Product, Engineering, and Architecture teams to ensure data solutions align with platform strategy and product needs

Contribute to the evolution of the company’s data architecture in collaboration with the Architecture Review Board, ensuring pipelines and data solutions align with established platform patterns, with a strong AWS-first approach

Maintain and support existing data pipelines, including troubleshooting, bug fixing, and incremental improvements to ensure reliability and performance.

Ensure data operations comply with privacy, security, and regulatory requirements, embedding governance and access controls into data pipelines

Monitor, maintain, and continuously improve data pipelines, infrastructure, and platform performance, including observability and alerting

Maintain strong collaboration with Product, Engineering, and Domain Leadership (EHS, ESG, Chemical Safety), contributing to quarterly reporting and ensuring data initiatives remain aligned with company objectives

What we're looking for:

Typically 6+ years of experience in Data Engineering or similar roles, with strong hands-on delivery in cloud-based environments.

Experience in SaaS, Health \& Safety, ESG, or Chemical Safety domains is a plus.

Experience working in Agile environments with DevOps, CI/CD pipelines.

Strong delivery mindset with the ability to take data initiatives from design through production

Technical Skills:

Advanced proficiency in Python and SQL

Strong experience designing and operating ETL / ELT data pipelines at scale

Hands-on experience with AWS-based data platforms, including: S3, Glue, Redshift, Athena, Kinesis

Strong experience implementing Change Data Capture (CDC) patterns using Kafka and/or AWS Kinesis

Strong experience working with large-scale structured and unstructured data

Experience building and operating streaming and event-driven data pipelines

Experience embedding security, access control, and compliance into data platforms (e.g. GDPR, enterprise data security best practices)

Proven ability to design scalable and efficient data architectures, optimising pipelines and storage.

Experience working with LLMs and AI-enabled data pipelines, including preparing, governing, and serving data for LLM, RAG, and agentic workflows

Familiarity with agentic development patterns and event-driven architectures that support AI-driven automation and decision-making

Working knowledge of BI and analytics tools such as QuickSight (preferred), Power BI, Tableau, or Looker

Experience with distributed systems and modern data platforms (e.g. Spark, Databricks)

Our Benefits:

We offer a variety of global benefits which are listed below! Please note a country-specific breakdown will be provided during your interview process.

Generous Paid Time Off

Extended Parental Leave

️‍ Robust Health Coverage

Accelerated Learning Paths

‍️Team Wellness Initiatives

Company-wide Events

Employee Resource Groups

️ Recognition awards

EcoOnline is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment where everyone feels safe and empowered to be themselves. Our Talent Acquisition team reviews all applications and believes in the potential of individuals who may not meet all the specific requirements but demonstrate the attitude, alignment with our values and drive to succeed.

We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need any assistance due to a disability, please speak to your talent acquisition partner.

#LI-Hybrid

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