The Sr Data Engineer will optimize and refactor data pipelines, manage data ingestion from APIs, and support product engineering teams. Responsibilities include design best practices, enhance the modern data stack, and troubleshoot data issues, ensuring resilience and operational excellence.
Looking to take your career to the next level? Then this role is for you!
Join Outsourcey and be part of our mission to revolutionize global talent expansion! We connect businesses with dedicated full-time teams in the Philippines, offering cost-efficient solutions without compromising quality. Join us and help elevate businesses with complete control and comprehensive support, let's shape the future of work together!
Profile Requirements:
- Partner with our Data Platform engineers to collectively strengthen and challenge one another.
- Lean into sharing your perspective on best practices approaches to data development, architecture design, and data modeling.
- Build as a data engineer leveraging your expertise in data ingestion and integration, data observability, data modeling, and scalable pipeline design.
- Ingest raw data from third-party APIs and transform it into integrated, documented, and governed datasets in our warehouse.
- Partner with our product engineering teams, to anticipate and deliver upcoming data needs supporting our reporting, analysis, and data science functions.
- Deeply understand our data pipelines, and provide a perspective on future optimization or refactoring to allow for continued growth and delivery.
- Troubleshoot code and data issues as they present themselves
- Stay informed on the data landscape and promising developments in the modern data stack, and introduce tools and processes to scale our development processes.
Core responsibilities:
- 5+ years of data engineering experience, including at least 2 years in a senior capacity.
- Experience working with modestly-sized fast-paced teams. (Our technology department has ~20 members).
- Significant hands-on experience with the modern data stack and an eye towards resourcefulness for the ever evolving space.
- Strong proficiency with SQL and Python as well as ELT and data modeling.
- Strong proficiency with Git and version+source control
- Experience focused on system resilience, and care for operational excellence, observability, and reliability across the data platform.
- Strong communication and/or product management skills.
- Working knowledge of technical delivery through an iterative value-focused approach.
- Experience with Docker and basic DevOps is a plus
Benefits: Competitive salary Opportunity to shape the HR function of a rapidly growing BPO. Work closely with a team of industry leaders who have successfully scaled BPOs in the past. Career growth and development opportunities.
Please attach your CV and we will be in touch for a confidential chat. Let's do great things together!
This is a remote position.
Similar Jobs
Big Data • HR Tech • Professional Services • Consulting
Design and implement scalable cloud-native data architectures, build and optimise ETL and big-data pipelines using Databricks/Spark/Delta Lake, ensure data quality and governance, automate workflows with Python/Scala/SQL, and collaborate with data scientists and analysts to enable AI-driven insights.
Top Skills:
SparkAWSAzureData LakeData WarehouseDatabricksDelta LakeETLKafkaKinesisMlopsPythonScalaSQL
AdTech • Beauty • Marketing Tech • Retail • Pharmaceutical
Lead design, development, deployment, and continuous improvement of cloud-native data and analytics solutions on Azure. Act as a hands-on technical lead building scalable, secure end-to-end data platforms using Spark/Databricks, Python/PySpark, and orchestration tools. Ensure CI/CD, DevOps, automation, code quality, mentor team members, resolve complex technical issues, and collaborate with stakeholders and vendors to drive platform evolution.
Top Skills:
AgileAirflowApi IntegrationsAzureAzure Data FactoryCi/CdDatabricksDevOpsPysparkPythonSparkSQLUnit Testing
Artificial Intelligence • Fintech • Machine Learning • Software • App development • Conversational AI • Generative AI
The Senior Data Engineer will design and maintain data pipelines, implement Medallion architecture, develop ETL/ELT processes, and improve data quality while collaborating with analysts to derive insights from data.
Top Skills:
AirbyteAirflowDbtPythonSnowflakeSQL
What you need to know about the Sydney Tech Scene
From opera to comedy shows, the Sydney Opera House hosts more than 1,600 performances a year, yet its entertainment sector isn't the only one taking center stage. The city's tech sector has earned a reputation as one of the fastest-growing in the region. More specifically, its IT sector stands out as the country's third-largest, growing at twice the rate of overall employment in the past decade as businesses continue to digitize their operations to stay competitive.
