Senior Data Engineer

SENIOR DATA ENGINEER

FocalCXM New Zealand Limited
Auckland, New Zealand – Hybrid
Full-time | Fixed-term

ABOUT FOCALCXM

FocalCXM New Zealand Limited is an IT consulting, digital transformation, and product development company. We support enterprise customers across banking, financial services, healthcare, and other industries.

As part of the global FocalCXM organisation, we combine local New Zealand delivery capability with international expertise and an offshore development centre. Our services include Data Engineering, Cloud Data Platforms, AI and Automation, Salesforce, API and System Integration, and enterprise product development.

We are expanding our New Zealand Data Engineering practice and are looking for an experienced Senior Data Engineer to join our Auckland-based team.

ABOUT THE ROLE

The Senior Data Engineer will design, develop, test, and maintain scalable enterprise data platforms and data pipelines. The successful candidate will work closely with architects, business analysts, data analysts, engineering teams, and client stakeholders to deliver secure and reliable data solutions.

The role may involve working within a large banking or enterprise environment and requires strong technical capability, attention to data quality, and experience working in structured delivery teams.

KEY RESPONSIBILITIES

• Design, develop, and maintain scalable batch and real-time data pipelines.
• Build data ingestion, transformation, integration, and processing solutions.
• Develop solutions using Python, PySpark, Apache Spark, and SQL.
• Work with cloud data platforms such as Databricks, Snowflake, Microsoft Fabric, Azure, or AWS.
• Process structured, semi-structured, and unstructured data from multiple sources.
• Develop and optimise ETL and ELT workflows.
• Implement data-quality controls, reconciliation processes, monitoring, and exception handling.
• Design and maintain data models suitable for analytics and operational reporting.
• Improve the performance, scalability, reliability, and cost efficiency of data solutions.
• Create automated unit, integration, regression, and data-validation tests.
• Use Git and CI/CD pipelines to manage and deploy data-engineering solutions.
• Support production releases, incident investigation, troubleshooting, and root-cause analysis.
• Prepare technical designs, data mappings, operational documentation, and support procedures.
• Apply appropriate security, privacy, access-control, and data-governance standards.
• Participate in Agile ceremonies, technical reviews, estimation, and delivery planning.
• Provide technical guidance and mentoring to other data engineers.
• Collaborate effectively with local, offshore, and client delivery teams.

REQUIRED SKILLS AND EXPERIENCE

• At least 7 years of professional experience in data engineering, software engineering, or a closely related discipline.
• At least 3 years of experience in a senior data-engineering role.
• Advanced experience with Python, PySpark, Apache Spark, and SQL.
• Strong experience designing and developing enterprise data pipelines.
• Practical experience with at least one major cloud platform: Microsoft Azure, AWS, or Google Cloud.
• Experience with Databricks, Snowflake, Microsoft Fabric, or a comparable modern data platform.
• Strong understanding of ETL/ELT, dimensional modelling, data warehousing, and data-lake architectures.
• Experience working with large data volumes and distributed data-processing technologies.
• Experience with orchestration tools such as Apache Airflow, Azure Data Factory, Databricks Workflows, or similar.
• Experience with Git, automated testing, CI/CD, and modern software-development practices.
• Ability to analyse complex technical problems and develop reliable, maintainable solutions.
• Strong written and verbal communication skills.
• Ability to work collaboratively with technical teams, business stakeholders, and clients.

DESIRABLE EXPERIENCE

• Experience delivering data solutions within banking or financial services.
• Experience with regulatory, risk, finance, customer-remediation, or data-migration programmes.
• Knowledge of data-quality frameworks, metadata management, lineage, governance, and reconciliation.
• Experience with Kafka or other event-streaming technologies.
• Experience with Terraform, Docker, Kubernetes, or other DevOps technologies.
• Familiarity with Parquet, Delta Lake, APIs, and modern lakehouse architectures.
• Experience working in an Agile or Scrum delivery environment.
• Relevant Azure, AWS, Databricks, Snowflake, or Microsoft certifications.

QUALIFICATIONS

A bachelor’s degree or higher qualification in Computer Science, Information Technology, Engineering, Data Science, or a related discipline is preferred. Candidates with equivalent relevant industry experience will also be considered.

PERSONAL ATTRIBUTES

• Strong analytical and problem-solving ability.
• Professional and client-focused approach.
• High attention to accuracy, security, and data quality.
• Ability to work independently and take ownership of assigned deliverables.
• Comfortable working in a fast-paced consulting environment.
• Willingness to learn new platforms and support other team members.
• Ability to communicate complex technical information clearly.

LOCATION AND WORKING ARRANGEMENTS

This position is based in Auckland and follows a hybrid working arrangement. The successful candidate may be required to work from the FocalCXM office, the client’s Auckland office, and remotely, depending on project requirements.

Applicants should be reasonably available to attend an Auckland office when required.

WHAT WE OFFER

• Opportunity to work on significant enterprise data-transformation programmes.
• Exposure to modern cloud, data-engineering, analytics, and AI technologies.
• Supportive and collaborative local and global teams.
• Professional development and relevant certification opportunities.
• Career-growth opportunities as our New Zealand and Australian operations expand.
• Competitive remuneration based on skills and experience.

PRE-EMPLOYMENT REQUIREMENTS

The successful candidate may be required to complete background checks relevant to the position and client assignment. These may include:

• Identity and New Zealand work-right verification.
• Criminal-record check.
• Employment and qualification verification.
• Reference checks.
• Credit or financial-integrity check where reasonably required for a banking assignment.
• Conflict-of-interest, confidentiality, privacy, and information-security declarations.

Any checks will be undertaken with the candidate’s knowledge and consent and in accordance with applicable New Zealand requirements.

HOW TO APPLY

Please apply through Eurostaffs with:

• Your current CV.
• A short cover letter outlining your relevant data-engineering experience.
• Your current New Zealand work-right status.
• Your Auckland location or willingness to relocate.
• Your availability or required notice period.
• Your expected annual remuneration.

Applications may also be sent to [email protected] with the subject line “Senior Data Engineer – Auckland”.

FocalCXM New Zealand Limited is committed to providing an inclusive workplace. We welcome applications from suitably qualified candidates from all backgrounds.

Please note that only candidates selected for the next stage may be contacted.

Pay: $85,000.00 – $95,000.00 per year

Benefits:

• Referral program

Work Location: Hybrid remote in Auckland CBD, Auckland