SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Axis is building accessible financial services through intuitive digital products, including a mobile wallet for money transfers, bill payments, online shopping, and in-person payments. The company is expanding into investment and wealth experiences.
As Data Engineering Lead, you will lead the data engineering team and own the technical direction of data platforms and pipelines. You will work cross-functionally with Technology, Product, Data, Finance, Risk, and Compliance to build reliable, scalable data solutions supporting product development, analytics, and business growth.
Key responsibilities include:
- Lead design, development, and operation of scalable data platforms and pipelines
- Own the technical roadmap and architecture for Axis's data engineering capabilities
- Design and evolve data models, warehouses, lakes, and lakehouse solutions for analytics, reporting, product development, and machine learning
- Lead development of reliable data ingestion, transformation, and processing solutions across multiple data sources
- Establish engineering standards for development, testing, deployment, monitoring, documentation, and operational support
- Make technical and architectural decisions considering scalability, reliability, performance, security, and cost
- Partner with engineering teams to integrate data from APIs, databases, event streams, and third-party systems
- Drive data quality, observability, governance, and monitoring across the data platform
- Ensure data solutions follow security, privacy, access control, and compliance requirements
- Translate business and product requirements into practical, scalable data solutions
- Lead resolution of production issues and drive continuous improvement
- Identify opportunities to improve platform performance, reliability, and cost efficiency
- Mentor and develop data engineers through technical guidance, code reviews, knowledge sharing, and career development
- Support team growth through technical interviews, hiring, and onboarding
- Evaluate new technologies and approaches to improve Axis's data capabilities
Requirements:
- 4+ years of experience in data engineering, software engineering, analytics engineering, or related technical field
- Experience leading or mentoring data engineers and driving technical initiatives
- Strong programming skills in Python, Java, Scala, or similar language
- Advanced SQL skills and strong experience with relational and non-relational databases
- Strong experience with data warehousing, data lakes, lakehouse architectures, and data modeling
- Experience with distributed data processing technologies such as Apache Spark, Flink, or similar tools
- Experience with workflow orchestration tools such as Apache Airflow, Dagster, Prefect, or similar platforms
- Experience with cloud-based data platforms and services
- Strong understanding of software development practices, including Git, testing, CI/CD, and code reviews
- Strong understanding of data architecture, system design, and performance optimization
- Strong problem-solving, communication, and stakeholder management skills
- Ability to manage multiple priorities and make effective technical decisions in a fast-paced environment
Plus factors:
- Experience in fintech, financial services, payments, banking, or other regulated industries
- Experience working with financial transactions, customer data, fraud, risk, or regulatory data
- Experience with streaming technologies such as Kafka, Kinesis, Pub/Sub, or Pulsar
- Experience with dbt, Terraform, Kubernetes, Docker, or similar tools
- Experience with modern data architectures, data contracts, event-driven systems, or lakehouse platforms
- Experience with data governance, lineage, metadata management, or data observability tools
- Experience building and scaling data engineering teams
- Experience supporting machine learning or advanced analytics use cases
The company offers flexible hybrid working, medical insurance for employee and family, life insurance, subsidized gym membership, and competitive leave including extended maternity and paternity leave.
