Senior Databricks Data Engineer Job at Inetum (Bucharest)

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

Senior Databricks Data Engineer

At LeverX, we have had the privilege of delivering over 1,500 projects for vario...

Location

Georgia

Salary:

Not provided

LeverX

Expiration Date

Until further notice

Requirements

5+ years in Data Engineering
Strong experience with Databricks: Spark (PySpark + SQL), Delta Lake internals, Jobs, Workflows, SQL Warehouses, Unity Catalog
Excellent SQL skills (analytical queries, performance tuning)
Strong Python for data engineering
Experience with dbt (models, tests, exposures, CI/CD)
Experience with orchestration tools (Airflow, Dagster)
Experience designing scalable lakehouse architectures
Understanding of cost optimization in Databricks (clusters, warehouses, storage layout)
English B2+

Job Responsibility

Design and build scalable data pipelines on Databricks using PySpark, Databricks SQL, and Delta Lake
Develop, optimize, and troubleshoot Spark workloads for performance and reliability
Manage Delta Lake tables, including Z-Ordering, compaction, schema evolution, retention, and file layout optimization
Configure and administer Databricks Jobs, clusters, SQL Warehouses, and workflows
Own data governance using Unity Catalog, including permissions, lineage, and catalog/schema management
Implement data transformations and medallion architecture (bronze–silver–gold) using dbt
Build CI/CD pipelines and ensure data quality, observability, SLAs, auditing, and monitoring
Collaborate with and mentor engineers, partner with analytics and ML teams, and drive continuous platform improvements

What we offer

Projects in different domains: healthcare, manufacturing, e-commerce, fintech, etc.
Projects for every taste: Startup products, enterprise solutions, research & development initiatives, and projects at the crossroads of SAP and the latest web technologies
Global clients based in Europe and the US, including Fortune 500 companies
Employment security: We hire for our team, not just a specific project. If your project ends, we will find you a new one
Healthy work atmosphere: On average, our employees stay with the company for 4+ years
Market-based compensation and regular performance reviews
Internal expert communities and courses
Perks to support your growth and well-being

Senior Data Engineer (DATABRICKS)

As a Senior Databricks Administrator, you will be responsible for the setup, con...

Location

Ireland , Dublin 18

Salary:

Not provided

Mastercard

Expiration Date

Until further notice

Requirements

6+ years of experience in Databricks administration on AWS or multi-cloud environments
Deep understanding of Databricks workspace architecture, Unity Catalog, and cluster configuration best practices
Strong experience in managing IAM policies, SCIM integration, and access provisioning workflows
Hands-on experience with monitoring, cost optimization, and governance of large-scale Databricks deployments
Hands-on experience with infrastructure-as-code (Terraform) and CI/CD pipelines
Experience with ETL orchestration and collaboration with engineering teams (Databricks Jobs, Workflows, Airflow)

Job Responsibility

Databricks Platform Administration (AWS) Provision, configure, and manage Databricks Workspaces across multiple environments (Dev, UAT, Prod)
Define and enforce cluster policies, compute tagging, and usage controls to optimize cost and resource utilization
Administer Unity Catalog, including creation and management of catalogs, schemas, access control, and data lineage
Manage SCIM integrations for user/group provisioning with IdPs like Okta or Azure/AWS SSO
Configure and maintain CI/CD pipelines for notebook deployment and workflow promotion using GitHub, GitLab, or similar tools
Security, Governance & Compliance Implement and enforce role-based access controls (RBAC) and fine-grained data permissions using Unity Catalog and Lake Formation
Ensure auditability and lineage tracking for compliance with Open Banking, GDPR, and PSD2 regulations
Configure and manage token scopes, secrets management, and credential passthrough for secure access to underlying data
Work with InfoSec and compliance teams to ensure platform security aligns with regulatory frameworks
Monitoring, Support & Troubleshooting Monitor workspace performance, cluster health, job execution, and user activity using Databricks native tools, CloudWatch, and third-party integrations

Fulltime

Senior Data Engineer with Databricks

At KMD, we build digital solutions used by millions of people around the world. ...

Location

Poland , Warsaw

Salary:

160.00 - 180.00 PLN / Hour

KMD Poland

Expiration Date

Until further notice

Requirements

5+ years of commercial experience in implementing, developing, or maintaining data load systems (ETL/ELT)
Strong programming skills in Python, with a deep understanding of data-related challenges
Hands-on experience with Apache Spark and Databricks
Familiar with MSSQL databases
Experience working with distributed systems on a cloud platform
Worked on large-scale systems and understands performance optimization
Comfortable with Git and CI/CD practices, and can design or implement deployment processes for data pipelines
Proactive, solution-oriented, and has a strong can-do attitude
Communicates fluently in English and Polish, both written and spoken
Team player with excellent collaboration and communication skills

Job Responsibility

Develop and maintain data delivery pipelines for a leading IT solution in the energy market, leveraging Apache Spark, Databricks, Delta Lake, and Python
Have end-to-end responsibility for the full lifecycle of features you develop
Design technical solutions for business requirements from the product roadmap
Ensure optimal performance
Refactor existing code and enhance system architecture to improve maintainability and scalability
Design and evolve the test automation strategy, including technology stack and solution architecture
Prepare reviews, participate in retrospectives, estimate user stories, and refine features ensuring their readiness for development

What we offer

KMD (an NEC company) is committed to providing equal opportunities. Hence, we invite all qualified interested applicants to apply for career opportunities. At KMD all aspects of employment and cooperation including the decision to hire/cooperate with will be based on merit, competence, performance, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other status protected under local anti-discrimination legislation

Senior Azure Data Engineer with Databricks

Location

Poland

Salary:

Not provided

DCG Sp. z o. o.

Expiration Date

Until further notice

Requirements

3+ years’ experience with Azure Data Factory and Databricks
5+ years’ experience with data engineering or backend/fullstack software development
Strong SQL skills
Python scripting proficiency
Experience with data transformation tools - Databricks and Spark
Experience in structuring and modelling data in both relational and non-relational forms
Experience with CI/CD tooling
Working knowledge of Git
English level: B2, C1

Job Responsibility

Being responsible for at-scale infrastructure design, build and deployment with a focus on distributed systems
Building and maintaining architecture patterns for data processing, workflow definitions, and system to system integrations using Big Data and Cloud technologies
Evaluating and translating technical design to workable technical solutions/code and technical specifications at par with industry standards
Driving creation of re-usable artifacts
Establishing scalable, efficient, automated processes for data analysis, data model development, validation, and implementation
Working closely with analysts/data scientists to understand impact to the downstream data models
Writing efficient and well-organized software to ship products in an iterative, continual release environment
Contributing and promoting good software engineering practices across the team
Communicating clearly and effectively to technical and non-technical audiences
Defining data retention policies

What we offer

Private medical care
Co-financing for the sports card
Constant support of dedicated consultant
Employee referral program

New

Senior / Staff Full-Stack Data Engineer – Databricks

At Codvo, we are committed to building scalable, future-ready data platforms tha...

Location

India , Pune

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Strong hands-on experience with Databricks, Apache Spark, and Delta Lake
Proven experience building and operating production-grade data pipelines
Experience operationalizing machine learning models and inference pipelines
Strong understanding of data reliability, observability, and monitoring practices
Experience with CI/CD, DevOps, and MLOps workflows
Experience working with cloud platforms (AWS or Azure)
Familiarity with Unity Catalog and enterprise data governance concepts
Experience with spec-driven development and coding agents

Job Responsibility

Design, build, and maintain ETL/ELT pipelines on Databricks using Spark, Delta Lake, and Databricks Workflows
Build and operate batch and real-time data pipelines for ingestion, transformation, and orchestration
Operationalize machine learning inference pipelines authored by data scientists (batch and real-time)
Ensure consistency between model training and inference environments
Implement data quality checks, validation rules, monitoring, alerting, and automated recovery
Collaborate with data scientists to productionize models and optimize inference performance and cost
Implement CI/CD, DevOps, and MLOps best practices for data pipelines and ML workflows
Optimize compute, storage, and job configurations for performance and cost efficiency
Implement and manage enterprise data governance using Unity Catalog (schemas, lineage, ownership, documentation)
Work with Databricks infrastructure and platform configurations

Fulltime

Senior Data Engineer with Data Bricks

About the Role: Senior Data Engineer with Data Bricks position at Cigres Technol...

Location

India , Bengaluru

Salary:

Not provided

Cigres

Expiration Date

Until further notice

Requirements

Proficiency in Databricks and experience with Spark for big data processing
Strong experience with Power BI, particularly in building reports and dashboards using DAX
Solid programming skills in Python or Scala for developing data pipelines
Knowledge of SQL and experience with relational databases and data warehousing concepts
Familiarity with cloud platforms - Azure, particularly in relation to data storage and processing
Understanding of data modeling, ETL processes, and data integration methodologies
Excellent problem-solving skills and attention to detail
Strong communication and collaboration abilities to work effectively in a team-oriented environment
Experience: 5 to 9 Years

Job Responsibility

Design and implement scalable data processing solutions using Databricks, including ETL processes that efficiently handle large data volumes
Develop interactive dashboards and reports using Power BI to facilitate real-time data visualization and insights for stakeholders
Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs and objectives
Optimize data storage and retrieval processes to enhance performance and reduce latency
Ensure data quality and integrity by implementing best practices for data governance and validation
Mentor junior data engineers and contribute to knowledge sharing within the team
Stay updated with the latest trends and technologies in data engineering, and evaluate their applicability to the organization's needs

Fulltime

Senior Staff Data Engineer- Data Platform

At Marktplaats, data is at the heart of everything we do, but Intelligence is wh...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

10+ years of hands-on experience in Software Development or Data Engineering
at least 5+ years specifically focused on building Data Platforms
deep understanding of how Platform infra supports Analytics workloads
proven experience evolving complex platforms from legacy patterns to modern, cloud-native solutions
deep knowledge of Spark internals, JVM tuning, and performance optimization for high-scale batch and streaming datasets
deep expertise in Unity Catalog, Delta Lake internals, and optimizing high-volume workloads
strict software engineering discipline (CI/CD, Testing, OOP) applied to data pipelines
understanding of microservices architecture
understanding the needs of Analytics/DWH teams (Data Modeling, dbt)
strong background in building automated pipelines using Terraform/Terragrunt and ensuring system observability

Job Responsibility

Lead the evolution of our Data Platform and architect the "Data Exchange" strategy
define robust patterns for API-based ingestion, Event-Driven Architectures (Kafka), and Reverse ETL
ensure architectures are optimized for cost and performance on AWS
act as a catalyst for technical evolution
constantly scan the horizon for next-generation technologies
lead the implementation of new paradigms
design the strategy for Unity Catalog implementation and Data Contracts
champion FinOps, automating cost controls for our highest-volume workloads
build the underlying infrastructure that allows Analytics/DWH teams to run efficient transformations
elevate the technical bar of the team, mentoring Staff and Senior engineers

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family
a collaborative environment with an opportunity to explore your potential and grow
a range of locally relevant benefits

Fulltime

Select Country

Senior Databricks Data Engineer

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?

Senior Databricks Data Engineer

Senior Databricks Data Engineer

Senior Databricks Data Engineer

Senior Data Engineer (DATABRICKS)

Senior Data Engineer with Databricks

Senior Azure Data Engineer with Databricks

Senior / Staff Full-Stack Data Engineer – Databricks

Senior Data Engineer with Data Bricks

Senior Staff Data Engineer- Data Platform

Our AI answers in your language