Databricks Engineer Job at 84 Recruitment Limited (Christchurch)

Databricks Engineer

Our client is revolutionizing the field of cell therapy manufacturing by develop...

Location

Salary:

Not provided

Coherent Solutions

Expiration Date

Until further notice

Requirements

5+ years of experience in Data Engineering with strong technical expertise
Proven hands-on experience with the Databricks Data Platform and Delta Lake
Experience building and managing Databricks Lakehouse solutions
Knowledge of Delta Live Tables or similar frameworks for real-time data ingestion is a strong plus
Ability to define processes from scratch and establish development workflows in a new or evolving team
Familiarity with data testing best practices and collaboration with QA teams to ensure data quality
Strong problem-solving mindset, initiative, and readiness to work in a dynamic, evolving environment
Ability to work with a time shift, ensuring overlap with the client until approximately 10:30 AM Pacific Time for meetings and collaboration
English level: Upper-Intermediate (written and spoken)

Job Responsibility

Design, build, and maintain data pipelines using Databricks and Delta Live Tables for real-time and batch data processing
Collaborate with cross-functional teams to ensure smooth data flow from diverse log-based sources
Participate in both individual and collaborative work, ensuring scalability, reliability, and performance of data solutions
Define and implement best practices for data development and deployment processes on the Databricks platform
Proactively address technical challenges in a project environment, proposing and implementing effective solutions

What we offer

Technical and non-technical training for professional and personal growth
Internal conferences and meetups to learn from industry experts
Support and mentorship from an experienced employee to help you professional grow and development
Internal startup incubator
Health insurance
English courses
Sports activities to promote a healthy lifestyle
Flexible work options, including remote and hybrid opportunities
Referral program for bringing in new talent
Work anniversary program and additional vacation days

Senior Databricks Data Engineer

To develop, implement, and optimize complex Data Warehouse (DWH) and Data Lakeho...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Proven, expert-level experience with the entire Databricks ecosystem (Workspace, Cluster Management, Notebooks, Databricks SQL)
In-depth knowledge of Spark architecture (RDD, DataFrames, Spark SQL) and advanced optimization techniques
Expertise in implementing and managing Delta Lake (ACID properties, Time Travel, Merge, Optimize, Vacuum)
Advanced/expert-level proficiency in Python (with PySpark) and/or Scala (with Spark)
Advanced/expert-level skills in SQL and Data Modeling (Dimensional, 3NF, Data Vault)
Solid experience with a major Cloud platform (AWS, Azure, or GCP), especially with storage services (S3, ADLS Gen2, GCS) and networking.

Job Responsibility

Design and implement robust, scalable, and high-performance ETL/ELT data pipelines using PySpark/Scala and Databricks SQL on the Databricks platform
Expertise in implementing and optimizing the Medallion architecture (Bronze, Silver, Gold) using Delta Lake to ensure data quality, consistency, and historical tracking
Efficient implementation of the Lakehouse architecture on Databricks, combining best practices from DWH and Data Lake
Optimize Databricks clusters, Spark operations, and Delta tables to reduce latency and computational costs
Design and implement real-time/near-real-time data processing solutions using Spark Structured Streaming and Delta Live Tables
Implement and manage Unity Catalog for centralized data governance, data security and data lineage
Define and implement data quality standards and rules to maintain data integrity
Develop and manage complex workflows using Databricks Workflows or external tools to automate pipelines
Integrate Databricks pipelines into CI/CD processes
Work closely with Data Scientists, Analysts, and Architects to understand business requirements and deliver optimal technical solutions

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical insurance
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings.

Fulltime

Databricks Engineer

We are seeking a Databricks Engineer to design, build, and operate a Data & AI p...

Location

United States , Leesburg

Salary:

Not provided

WINTrio

Expiration Date

Until further notice

Requirements

Hands-on experience with Databricks, Delta Lake, and Apache Spark
Deep understanding of ELT pipeline development, orchestration, and monitoring in cloud-native environments
Experience implementing Medallion Architecture (Bronze/Silver/Gold) and working with data versioning and schema enforcement in enterprise grade environments
Strong proficiency in SQL, Python, or Scala for data transformations and workflow logic
Proven experience integrating enterprise platforms (e.g., PeopleSoft, Salesforce, D2L) into centralized data platforms
Familiarity with data governance, lineage tracking, and metadata management tools

Job Responsibility

Data & AI Platform Engineering (Databricks-Centric): Design, implement, and optimize end-to-end data pipelines on Databricks, following the Medallion Architecture principles
Build robust and scalable ETL/ELT pipelines using Apache Spark and Delta Lake to transform raw (bronze) data into trusted curated (silver) and analytics-ready (gold) data layers
Operationalize Databricks Workflows for orchestration, dependency management, and pipeline automation
Apply schema evolution and data versioning to support agile data development
Platform Integration & Data Ingestion: Connect and ingest data from enterprise systems such as PeopleSoft, D2L, and Salesforce using APIs, JDBC, or other integration frameworks
Implement connectors and ingestion frameworks that accommodate structured, semi-structured, and unstructured data
Design standardized data ingestion processes with automated error handling, retries, and alerting
Data Quality, Monitoring, and Governance: Develop data quality checks, validation rules, and anomaly detection mechanisms to ensure data integrity across all layers
Integrate monitoring and observability tools (e.g., Databricks metrics, Grafana) to track ETL performance, latency, and failures
Implement Unity Catalog or equivalent tools for centralized metadata management, data lineage, and governance policy enforcement

Senior Databricks Data Engineer

To develop, implement, and optimize complex Data Warehouse (DWH) and Data Lakeho...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Proven, expert-level experience with the entire Databricks ecosystem (Workspace, Cluster Management, Notebooks, Databricks SQL)
in-depth knowledge of Spark architecture (RDD, DataFrames, Spark SQL) and advanced optimization techniques
expertise in implementing and managing Delta Lake (ACID properties, Time Travel, Merge, Optimize, Vacuum)
advanced/expert-level proficiency in Python (with PySpark) and/or Scala (with Spark)
advanced/expert-level skills in SQL and Data Modeling (Dimensional, 3NF, Data Vault)
solid experience with a major Cloud platform (AWS, Azure, or GCP), especially with storage services (S3, ADLS Gen2, GCS) and networking
bachelor’s degree in Computer Science, Engineering, Mathematics, or a relevant technical field
minimum of 5+ years of experience in Data Engineering, with at least 3+ years of experience working with Databricks and Spark at scale.

Job Responsibility

Design and implement robust, scalable, and high-performance ETL/ELT data pipelines using PySpark/Scala and Databricks SQL on the Databricks platform
expertise in implementing and optimizing the Medallion architecture (Bronze, Silver, Gold) using Delta Lake
design and implement real-time/near-real-time data processing solutions using Spark Structured Streaming and Delta Live Tables (DLT)
implement Unity Catalog for centralized data governance, fine-grained security (row/column-level security), and data lineage
develop and manage complex workflows using Databricks Workflows (Jobs) or external tools (Azure Data Factory, Airflow) to automate pipelines
integrate Databricks pipelines into CI/CD processes using tools like Git, Databricks Repos, and Bundles
work closely with Data Scientists, Analysts, and Architects to deliver optimal technical solutions
provide technical guidance and mentorship to junior developers.

What we offer

Full access to foreign language learning platform
personalized access to tech learning platforms
tailored workshops and trainings to sustain your growth
medical insurance
meal tickets
monthly budget to allocate on flexible benefit platform
access to 7 Card services
wellbeing activities and gatherings.

Fulltime

Backend Data Engineer

The mission of the Data & Analytics (D&A) team is to enable data users to easily...

Location

United States , Cincinnati

Salary:

Not provided

HonorVet Technologies

Expiration Date

Until further notice

Requirements

Strong proficiency in Databricks (SQL, PySpark, Delta Lake, Jobs/Workflows)
Deep knowledge of Unity Catalog administration and APIs
Expertise in Python for automation scripts, API integrations, and data quality checks
Experience with governance frameworks (access control, tagging enforcement, lineage, compliance)
Solid foundation in security & compliance best practices (IAM, encryption, PII)
Experience with CI/CD and deployment pipelines (GitHub Actions, Azure DevOps, Jenkins)
Familiarity with monitoring/observability tools and building custom logging & alerting pipelines
Experience integrating with external systems (ServiceNow, monitoring platforms)
Experience with modern data quality frameworks (Great Expectations, Deequ, or equivalent)
Strong problem-solving and debugging skills in distributed systems

Job Responsibility

Databricks & Unity Catalog Engineering: Build and maintain backend services leveraging Databricks (SQL, PySpark, Delta Lake, Jobs/Workflows)
Administer Unity Catalog including metadata, permissions, lineage, and tags
Integrate Unity Catalog APIs to surface data into the Metadata Catalog UI
Governance Automation: Develop automation scripts and pipelines to enforce access controls, tagging, and role-based policies
Implement governance workflows integrating with tools such as ServiceNow for request and approval processes
Automate compliance checks for regulatory and security requirements (IAM, PII handling, encryption)
Data Quality & Observability: Implement data quality frameworks (Great Expectations, Deequ, or equivalent) to validate datasets
Build monitoring and observability pipelines for logging, usage metrics, audit trails, and alerts
Ensure high system reliability and proactive issue detection
API Development & Integration: Design and implement APIs to integrate Databricks services with external platforms (ServiceNow, monitoring tools)

Data Analytics Engineer

SDG Group is expanding its global Data & Analytics practice and is seeking a mot...

Location

Egypt , Cairo

Salary:

Not provided

SDG

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, Information Systems, or related field
Hands-on experience in DataOps / Data Engineering
Strong knowledge in Databricks OR Snowflake (one of them is mandatory)
Proficiency in Python and SQL
Experience with Azure data ecosystem (ADF, ADLS, Synapse, etc.)
Understanding of CI/CD practices and DevOps for data.
Knowledge of data modeling, orchestration frameworks, and monitoring tools
Strong analytical and troubleshooting skills
Eagerness to learn and grow in a global consulting environment

Job Responsibility

Design, build, and maintain scalable and reliable data pipelines following DataOps best practices
Work with modern cloud data stacks using Databricks (Spark, Delta Lake) or Snowflake (Snow pipe, tasks, streams)
Develop and optimize ETL/ELT workflows using Python, SQL, and orchestration tools
Work with Azure data services (ADF, ADLS, Azure SQL, Azure Functions)
Implement CI/CD practices using Azure DevOps or Git-based workflows
Ensure data quality, consistency, and governance across all delivered data solutions
Monitor and troubleshoot pipelines for performance and operational excellence
Collaborate with international teams, architects, and analytics consultants
Contribute to technical documentation and solution design assets

What we offer

Remote working model aligned with international project needs
Opportunity to work on European and global engagements
Mentorship and growth paths within SDG Group
A dynamic, innovative, and collaborative environment
Access to world-class training and learning platforms

Fulltime

Data Engineer

We are looking for an experienced Data Engineer with deep expertise in Databrick...

Location

Salary:

Not provided

Coherent Solutions

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
5+ years of experience in data engineering, with at least 2 years of hands-on experience with Databricks (including Spark, Delta Lake, and MLflow)
Strong proficiency in Python and/or Scala for data processing
Deep understanding of distributed data processing, data warehousing, and ETL concepts
Experience with cloud data platforms (Azure Data Lake, AWS S3, or Google Cloud Storage)
Solid knowledge of SQL and experience with large-scale relational and NoSQL databases
Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for data engineering
Experience with data governance, security, and compliance in cloud environments
Excellent problem-solving, communication, and leadership skills
English: Upper Intermediate level or higher

Job Responsibility

Lead the design, development, and deployment of scalable data pipelines and ETL processes using Databricks (Spark, Delta Lake, MLflow)
Architect and implement data lakehouse solutions, ensuring data quality, governance, and security
Optimize data workflows for performance and cost efficiency on Databricks and cloud platforms (Azure, AWS, or GCP)
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights
Mentor and guide junior engineers, promoting best practices in data engineering and Databricks usage
Develop and maintain documentation, data models, and technical standards
Monitor, troubleshoot, and resolve issues in production data pipelines and environments
Stay current with emerging trends and technologies in data engineering and Databricks ecosystem

What we offer

Technical and non-technical training for professional and personal growth
Internal conferences and meetups to learn from industry experts
Support and mentorship from an experienced employee to help you professional grow and development
Internal startup incubator
Health insurance
English courses
Sports activities to promote a healthy lifestyle
Flexible work options, including remote and hybrid opportunities
Referral program for bringing in new talent
Work anniversary program and additional vacation days

Lead Data Engineer

As a Lead Data Engineer at Rearc, you'll play a pivotal role in establishing and...

Location

United States

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

10+ years of experience in data engineering, data architecture, or related technical fields
Proven ability to design, build, and optimize large-scale data ecosystems
Strong track record of leading complex data engineering initiatives
Deep hands-on expertise in ETL/ELT design, data warehousing, and data modeling
Extensive experience with data integration frameworks and best practices
Advanced knowledge of cloud-based data services and architectures (AWS Redshift, Azure Synapse Analytics, Google BigQuery, or equivalent)
Strong strategic and analytical thinking
Proficiency with modern data engineering frameworks (Databricks, Spark, lakehouse technologies like Delta Lake)
Exceptional communication and interpersonal skills

Job Responsibility

Engage deeply with stakeholders to understand data needs, business challenges, and technical constraints
Translate stakeholder needs into scalable, high-quality data solutions
Implement with a DataOps mindset using tools like Apache Airflow, Databricks/Spark, Kafka
Build reliable, automated, and efficient data pipelines and architectures
Lead and execute complex projects
Provide technical direction and set engineering standards
Ensure alignment with customer goals and company principles
Mentor and develop data engineers
Promote knowledge sharing and thought leadership
Contribute to internal and external content

What we offer

Comprehensive health benefits
Generous time away and flexible PTO
Maternity and paternity leave
Access to educational resources with reimbursement for continued learning
401(k) plan with company contribution

Databricks Engineer

84 Recruitment Limited

Location:
New Zealand , Christchurch

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 16, 2026

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