Data Engineering Lead

About Axis
Axis is building the future of accessible financial services through intuitive, trusted digital products. Our mobile wallet enables users to send and receive money, pay bills, shop online, and make in-person payments. As we expand into investment and wealth experiences, we are growing a high-performing team focused on creating simple and meaningful financial solutions for our customers.

About the Role

As a Data Engineering Lead at Axis, you will lead the data engineering team and own the technical direction of our data platforms and pipelines. You will work closely with Technology, Product, Data, Finance, Risk, Compliance, and other stakeholders to build reliable and scalable data solutions that support product development, analytics, and business growth.

You will combine technical expertise with people leadership to establish strong engineering practices, drive technical decisions, and build a high-performing data engineering function.

You will..

• Lead the 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 to support analytics, reporting, product development, and machine learning.

• Lead the 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 appropriate security, privacy, access control, and compliance requirements.

• Translate business and product requirements into practical and scalable data solutions.

• Lead the resolution of production issues and drive continuous improvement across the data platform.

• Identify opportunities to improve data platform performance, reliability, and cost efficiency.

• Mentor and develop data engineers through technical guidance, code reviews, knowledge sharing, and career development.

• Support the growth of the team through technical interviews, hiring, and onboarding.

• Evaluate new technologies and approaches that can improve Axis’s data capabilities.

You have..

• 4+ years of experience in data engineering, software engineering, analytics engineering, or a related technical field.

• Experience leading or mentoring data engineers and driving technical initiatives.

• Strong programming skills in Python, Java, Scala, or a 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.

• The ability to manage multiple priorities and make effective technical decisions in a fast-paced environment.

It would be a plus if you have

• 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.
  
  Perks of working @ Axis

• Flexible hybrid working model

• Medical insurance for you and your family

• Life insurance coverage

• Subsidized gym membership

• Very competitive leave policy, including extended Maternity and Paternity leaves.