IT Data Engineer passionate about data solutions supporting digital transformation at Sizewell C. Join a collaborative team working on building data pipelines and platforms for a major infrastructure project.
About the role
- Senior Data Engineer leading the evolution of our data stack at SimplePractice. Building infrastructure for product intelligence, financial reporting, and self-serve analytics.
Responsibilities
- Partner with Product, Analytics and Engineering to build scalable systems that help unlock the value of data from a wide range of sources such as backend databases, event streams, and marketing platforms
- Lead technical vision and architecture with holistic point of view on both short-term and long-term horizons
- Work with analytics to create company wide alignment through standardized metrics across the company
- Work with Product and Engineering teams to support internal use cases such as financial reporting, product analytics and operational metrics
- Enable external use cases like customer-facing dashboard, self-serve analytics, and next best action in product
- Manage the complete data stack from ingestion through data consumption
- Build tools to increase transparency in reporting company wide business outcomes
- Work with DevOps to deploy and maintain data solutions leveraging cloud data technologies, preferably in AWS
- Help define data quality and data security framework to measure and monitor data quality across the enterprise. Define and promote data engineering best practice
Requirements
- BS/MS in Engineering, Computer Science, Mathematics, or related field
- 7+ years in Data or Analytics Engineering
- Strong problem-solving and communication skills; comfortable in fast-paced, cross-functional environments
- Enterprise architecture and enterprise data architecture (data modeling and enterprise dimensional modeling)
- Expert in SQL and data modeling (relational, dimensional, semantic)
- Proven experience in data warehouse design, implementation, and maintenance (Snowflake)
- Hands-on with DBT for modular, testable transformations
- Experience with orchestration and ingestion tools: Airflow, Prefect, Airbyte, Fivetran, Kafka
- Familiar with ELT, schema-on-read, DAGs, and performance optimization
- Experience with AWS (S3, RDS, Redshift, etc.)
- Familiar with Terraform, Docker, and containerized workflows (bonus)
- Skilled in handling structured, semi-structured (e.g., JSON), and columnar formats (e.g., Parquet, ORC)
- Experience building and supporting semantic layers for self-serve analytics
- Proficient with BI tools like Looker, Tableau, or Sisense
- Comfortable standardizing metrics and enabling trusted, consistent access to data
- Proficient in Python and Unix/Linux scripting
- Comfortable working with APIs (e.g., using curl)
Benefits
- Privatized Medical, Dental & Vision Coverage
- Work From Home stipend
- Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
- Monthly Meal Reimbursement
- Holiday Bonus, 15-day Aguinaldo
- Hybrid Work Schedule & Catered Lunch
- A relocation bonus for candidates joining us from a different city
- Employee Resource Groups (ERGs)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior technical leader for domain cluster at Vizient, ensuring engineering excellence and delivery capability across multiple teams.
Cloud & Data Engineer working with large datasets in innovative projects for Marketing Technology team. Focus on cloud platforms and development of scalable systems for digital marketing support.
Data Engineer responsible for building and maintaining data solutions using Microsoft Fabric. Working within a consultancy environment to meet client expectations across various sectors.
Data Engineering Lead at Fetch owning end - to - end data platform for AI, pricing, and operations. Collaborate with teams to enable real - time data - driven decisions and trustworthiness.
Data Engineer responsible for building ELT/ETL pipelines and supporting data governance practices at Daniels Health. Joining a mission - driven company innovating in healthcare waste management across multiple countries.
Data Engineer designing and optimizing Azure - based data platforms for enterprise analytics. Developing scalable data pipelines and enabling insights through Power BI and Azure Synapse Analytics.
Senior Software Engineer focused on ingestion pipeline at Fullstory. Engineering distributed systems for processing data at scale while collaborating with technical leaders.
Junior Data Engineer contributing to data solutions in home24's Martech team. Focus on data pipelines, analytical workflows, and machine learning model scaling with cross - functional collaboration.
Data Engineer at Onepoint developing cloud - native architectures and scalable data solutions. Collaborating on data processing pipelines and guiding clients on best practices.