🔹 For our Client we are looking for Senior Data Engineer (Databricks & PySpark)🔹

About the Role

We are seeking an experienced Senior Data Engineer to design, build, and operate our Sustainability Data Foundation (SDF). The SDF supports trusted, scalable, and auditable sustainability reporting and analytics through a modern data platform built on Databricks.

The focus of this role is to deliver data products and pipelines that enable sustainability reporting, regulatory compliance, and advanced analytics rather than enterprise-wide IT solutions. This position requires a combination of deep technical expertise, strong delivery ownership, and a pragmatic approach to engineering.

You will join a Sustainability Data & AI team that values reliability, operational excellence, and practical solutions over unnecessary complexity. We are looking for someone who is proactive, solution-oriented, and comfortable taking ownership from design through production support. The ideal candidate independently validates outputs, identifies root causes, and ensures high-quality delivery.

Key Responsibilities

Data Engineering & Product Development

- Design and implement scalable data products using Databricks, Delta Lake, and PySpark.

- Develop data models, transformation frameworks, and reusable engineering patterns.

- Build and maintain data pipelines processing complex datasets from ERP, procurement, sustainability, and external systems.

- Optimize workloads for performance, scalability, and cost efficiency.

- Design, develop, deploy, and support production-grade data solutions.

- Build Databricks-based tools, dashboards, and applications that enhance user interaction with data and streamline reporting processes.

Data Quality & Governance

- Implement automated data quality controls throughout the data lifecycle.

- Proactively identify and resolve data issues before they impact reporting.

- Ensure data accuracy, completeness, and trustworthiness.

- Take ownership of data quality, not just technical delivery.

Platform Engineering & DevOps

- Implement CI/CD pipelines, automated deployments, testing frameworks, and Infrastructure as Code (IaC).

- Support platform governance, security controls, access management, and operational standards.

- Contribute to platform reliability, monitoring, and continuous improvement initiatives.

Stakeholder Collaboration

- Partner with sustainability experts, business analysts, product owners, and reporting teams.

- Support requirements gathering, solution design, testing, and production releases.

- Communicate risks, dependencies, and delivery status clearly and proactively.

- Ensure solutions meet business, performance, and quality expectations.

- Take full ownership of deliverables and outcomes.

Required Qualifications

Technical Expertise

- 5+ years of experience designing, developing, and operating data platforms and pipelines.

- Extensive hands-on experience with Databricks in production environments.

Expert-level proficiency in:

- PySpark

- SQL

- Data Modelling

- Data Pipeline Design

Software Engineering & DevOps

- Experience implementing CI/CD pipelines for data engineering workloads.

- Strong knowledge of Git-based development and version control practices.

- Experience with automated testing, deployment pipelines, and release management.

Solid understanding of:

- Data lineage and metadata management

- Data governance and auditing

- Data validation and reconciliation frameworks

Professional Competencies

- Strong troubleshooting and root-cause analysis skills.

- Ability to balance engineering excellence with pragmatic delivery.

- Demonstrated ownership and accountability for production services and data products.

- Proactive, self-driven, and solution-oriented mindset.

Preferred Qualifications

- Experience with sustainability reporting, ESG data, and regulatory reporting requirements.

- Experience developing Databricks applications, dashboards, or user-facing data tools.

- Knowledge of procurement, supplier, finance, and ERP data domains.

- Experience supporting executive reporting, disclosures, or audit-related data processes.

Ideal Candidate Profile

We are looking for a Senior Data Engineer with 5-7 years of experience who combines strong Databricks engineering capabilities with a practical, business-focused mindset. The successful candidate will be comfortable working independently, taking ownership of outcomes, and delivering reliable data products that support critical sustainability reporting and decision-making.

Contact person: dominika.kisiel@eworkgroup.com

Client code: MM03/HN04

Do you know someone who would fit this position? Recommend a candidate by sending her/his CV to: polecenia@eworkgroup.com