In this position you will…… design, build, and optimize scalable data products, pipelines, and platform capabilities using the Databricks Lakehouse Platform and related technologies. Develop production-grade data solutions that are reliable, maintainable, and built to scale across markets and regions. Establish strong data engineering standards and best practices to improve quality, governance, and operational efficiency. Partner closely with business and technical teams to transform complex datasets into trusted and actionable insights. Help ensure bolttech’s data ecosystem remains secure, governed, and scalable across countries, data centers, and AWS regions.
You will be responsible for… For you to be successful……we expect you to be able to demonstrate the following key competencies:
Customer Focus
- Actively seeks to understand customer feedback and needs and uses this in decision making and solutioning
- Responds quickly and effectively to new customer ideas and request.
- Focused on simplifying and improving customer journeys, leveraging automation
Impactful
- Proactive in identifying what needs to be done, and taking action, before being asked, or before the situation escalates
- Evaluates data and makes decisions, including differing stakeholder perspectives and/or some missing information. Understands when an “80% solution” is sufficient and acts accordingly
- Takes accountability and self-motivated to deliver results even in situations which are not straight-forward
Collaborative
- Partners with a range of people to create trust, and co-create and deliver mutually beneficial outcomes
- Develops collaborative and dynamic working relationships to achieve the best possible outcomes
- Resolves disputes using a range of tactics to prioritize positive outcomes
Communication
- Effective and articulate communicator actively and respectfully listens to and synthesizes others’ perspectives
- Keeps relevant people accurately informed and up-to-date of both positive and potentially negative information
- Concise in communicating and references relevant information tailored to the audience to support points
Adaptable
- Looks to understand bigger picture rationale for changes and adapts in a flexible and nimble manner
- Flexible in successfully juggling multiple requirements, ambiguity and competing demands. Perseveres in challenging circumstances
- Adapts style and approach to best meet different situations
You will require the following qualifications and skills
- At least five years of professional data-engineering experience, including designing, building, deploying, and supporting production-grade data platforms and pipelines.
- Strong hands-on experience with the Databricks Lakehouse Platform, including Delta Lake, Unity Catalog, Databricks Workflows, Databricks Asset bundles (DABs), Delta Live Tables (DLT), Delta Share and MLflow.
- Strong development experience with Python, PySpark, and advanced SQL, including complex data transformations and performance optimization.
- Proven experience designing and operating scalable batch and streaming data pipelines, including monitoring, observability, error handling, recovery, and data-quality controls.
- Strong understanding of data architecture, modelling, metadata, lineage, dependencies, distributed processing, workload optimization, change management and code versioning.
- Experience implementing data governance, access controls, security, cataloguing, and lineage within enterprise data environments.
- Strong knowledge of AWS, particularly S3 and related services such as EC2, EMR, RDS, Redshift, and Glue.
- Experience integrating Databricks with cloud storage, databases, APIs, event streams, and enterprise data sources, with a good understanding of networking, IAM, encryption, and secrets management.
- Strong software-engineering practices, including Git, automated testing, CI/CD, clean and reusable code, environment management, and deployment automation.
- Experience working with relational and NoSQL databases and with structured, semi-structured, and unstructured datasets at scale.
- Strong analytical and troubleshooting skills, with the ability to perform root-cause analysis and resolve complex data, pipeline, platform, and performance issues.
- Strong stakeholder management and communication skills, with the ability to translate business requirements into secure, reliable, and scalable technical solutions.
- Ability to work effectively across cross-functional and internationally distributed teams, demonstrating ownership, adaptability, prioritization, mentoring, and knowledge sharing.
KR
