Data Engineer & Architect in UNITED KINGDOM

Remote EU GMT - GMT+4

$78,000 to $120,000 USD / year

My Client turns climate goals into actionable business plans with real-time carbon tracking and strategy alignment.

• Develop and Implement Data Architecture Strategy: Create and sustain a comprehensive data architecture that aligns with company’s business goals.
• Oversee the Data Warehouse: Manage company’s core data warehouse, providing the essential backend infrastructure for the B2B SaaS platform.
• Engage Directly with Customers: Collaborate with customers on data ingestion and reporting needs, ensuring seamless integration of their data into the platform.
• Optimize Data Ingestion Processes: Handle all stages of data ingestion, establishing a scalable, efficient data flow.
• Architect and Manage ETL Systems: Design an enterprise-level ETL architecture that accommodates all third-party and customer data feeds, focusing on robust Python-based ETL and orchestration tools.
• Execute Data Cataloging and Analytics: Perform data cataloging on source data, define clear business rules for data ingestion, and oversee analytics to support data-driven decisions.
• Build and Maintain ETL Pipelines: Write requirements and implement robust ETL pipelines, prioritizing exception handling and scalability.
• Lead Data Quality Assurance: Manage both manual and automated data quality processes, ensuring reliable and accurate data.
• Define and Maintain SLAs: Establish service-level agreements to ensure high-quality data standards.
• Serve as a Subject Matter Expert: Develop specialized knowledge in travel and expense data, applying it to support client needs.
• Collaborate Across Teams: Work with engineering, data science, product management, and customer success teams to ensure an integrated approach.
• Establish Data Governance: Implement data governance policies and democratize data access through compliant, secure channels.
• Monitor and Troubleshoot Data Infrastructure: Oversee infrastructure monitoring and proactively troubleshoot any issues to maintain high reliability.
• Plan for Business Continuity and Disaster Recovery: Design and test continuity and recovery strategies for the data warehouse.
• Provide Technical Leadership: Engage in technical mentorship through activities like code reviews, pairing, ADRs, and presentations.

• Bring 7+ years of experience in data architecture, data modeling, and data warehousing, with strong expertise in industry methodologies.
• Are proficient in Python for data engineering and have experience with ETL orchestration tools (e.g., Apache Airflow or similar).
• Have hands-on experience with AWS and cloud services, demonstrating solid knowledge of RDBMS and SQL for query optimization and performance troubleshooting.
• Feel comfortable working directly with customers and have experience gathering and implementing client requirements.
• Have experience with scaling and re-architecting data infrastructure to support large data volumes and complex operations.
• Are familiar with data transformation tools like DBT or SQLMesh.
• Understand and have worked with several data warehousing platforms such as Google BigQuery, Snowflake, MemSQL, Apache Ignite, Redshift, or Databricks.
• Are effective in ambiguous environments with strong practical problem-solving skills.

• Experience with travel industry data - Highly desired
• Knowledge of open-source data tools and frameworks like DuckDB, Spark, Trino, Iceberg, or Delta Lake.
• Background in Financial Planning & Analysis (FP&A) or experience with similarly data-intensive systems.
• Familiarity with TypeScript, as some legacy ETLs are written in this language.
• Possess startup or 0-to-1 experience - highly desired
• Have been a part of projects that required building Data infrastructure from the ground up.
• Experience with data science or data wrangling to support data manipulation and complex analysis.

• Head of Engineering Interview
• Senior Engineer Interview
• Report Developer Interview
• Staff Engineer Interview
• Take-Home Assignment
• Final Interview with the Head of Engineering

Visa Sponsorship: Not Available

About company:

The company turns climate goals into actionable business plans with real-time carbon tracking and strategy alignment.

They provides enterprises with an advanced Carbon Planning & Analysis (CP&A) platform that embeds sustainability into everyday business operations. By automating carbon data collection, analytics, and scenario modeling, company enables companies to integrate emissions reduction targets into core business strategies. Its platform supports real-time insights for critical areas such as business travel, supply chain, and employee commuting, allowing organizations to align financial outcomes with climate goals while fostering transparency and efficiency across departments.

The team is: 

• Mission-driven: Focused on integrating climate goals with business strategy to achieve impactful, measurable results.
• Collaborative and cross-functional: Comprising experts from diverse backgrounds in data science, software engineering, and sustainability.
• Led by industry veterans: Guided by an advisory board with leaders in ESG and carbon planning from companies like Robinhood and Coca-Cola.
• Growth-focused: Committed to doubling revenue by meeting rising demand for carbon planning tools, emphasizing innovative and adaptive solutions.
• Supportive of professional development: Providing opportunities to engage in cutting-edge projects and learn from top industry professionals.