Junior Data Engineer (Databricks) Job at Addepto sp. z o.o.

Junior Data Engineer

We are seeking a skilled and motivated Data Engineer to join our team, with deep...

Location

United States , Morristown

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
Proven experience delivering production data engineering solutions in Databricks, including Apache Spark and Delta Lake on the Microsoft Azure cloud platform
Strong proficiency in SQL and Python (or Scala), including building ETL/ELT pipelines and writing efficient Spark code
Experience with data modeling and lakehouse/warehouse patterns (e.g., medallion architecture) and distributed data processing concepts
Excellent problem-solving skills and attention to detail
Strong communication and teamwork abilities

Job Responsibility

Design, build, and maintain batch and streaming data pipelines using Databricks (Spark, Delta Lake, Jobs/Workflows)
Partner with data scientists, analysts, and application teams to deliver trusted, well-modeled data sets and features in the Databricks Lakehouse
Optimize Spark jobs (partitioning, caching, join strategies) and Databricks cluster configurations for performance, scalability, and cost
Implement data quality checks, observability, governance, and security controls (e.g., Unity Catalog, access policies) within Databricks
Troubleshoot and resolve pipeline failures, data issues, and production incidents
perform root-cause analysis and implement preventative improvements

What we offer

medical, vision, dental, and life and disability insurance
enrollment in company 401(k) plan

Ai & Data Engineer (Databricks)

Deloitte is a global leader in professional services, with a presence in over 15...

Location

Greece , Thessaloniki

Salary:

Not provided

Deloitte

Expiration Date

Until further notice

Requirements

Master's degree in STEM
Fluency in concepts and techniques about Data Warehousing, Business Intelligence, Data modeling, Machine Learning, Deep Learning and Generative AI
Good understanding of data architectures
Good knowledge of Python language
Good knowledge of SQL
Good knowledge of ETL concept
Good knowledge of Azure cloud platform
Proficiency in Databricks
Flexibility, willingness to travel
Fluency in English (at least C1 certified)

Job Responsibility

Understand user requirements and which are the technical steps and tool required to exceed client expectation, under the time and resources constraints
Follow the team leader lead, contributing to improve the quality of the deliverables while meeting the deadlines
Guarantee the production of high-quality solutions, using tools and resources made available and coordinating junior colleagues
Identify potential project issues and promptly share them with the rest of the team
Cooperate productively in cross-functional and international teams

What we offer

Modern hybrid workplace, characterized by flexibility and Smart Working
Empowered well-being: We provide multiple program offerings to support your well-being needs (flexible working arrangements, extra days of leave, parental allowances)
Engagement within international large-scale teams and projects, with opportunities to travel for training or client purposes
Constant opportunities for learning with unlimited access to internal and external learning platforms and sponsored certificates aligned with business needs and technology trends
Challenging and innovating environment where personal development and growth are encouraged, always with transparency and trust
Diverse culture and active communities that enable you to bring yourself to work
Team Building and Corporate Social Responsibility Activities
A buddy to support you with your onboarding
Private medical health insurance plan
Ticket restaurant card

Fulltime

Junior Data Engineer

Junior Data Engineer role at Compass Group UK&I's Digital & Technology team. A r...

Location

United Kingdom , Birmingham

Salary:

Not provided

14forty

Expiration Date

Until further notice

Requirements

A foundation in Python and SQL
Strong problem-solving instincts and an attention to detail
Someone who actively seeks feedback, acts on it, and keeps improving
An interest in data, analytics, and cloud technology
Familiarity with Git or version control concepts, or a clear willingness to pick it up fast
Good communication skills and the ability to work well in a team
A degree in Computer Science, Engineering, Maths, or a related field — or equivalent practical experience

Job Responsibility

Building and maintaining data pipelines using PySpark, Spark SQL, and Python on the Databricks Lakehouse platform
Supporting the development of batch pipelines that feed our Discovery Analytics platform, powered by Power BI
Writing clean, well-documented code and contributing to code reviews
Writing unit tests and following version control practices using Git
Contributing to documentation and team knowledge sharing
Participating in Agile ceremonies and working collaboratively across engineering and business teams

Fulltime

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

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

Junior Data Engineer

As a Junior Data Engineer, you will have the exciting opportunity to work with a...

Location

Poland , Warsaw; Cracow; Wroclaw; Bialystok

Salary:

8400.00 - 15120.00 PLN / Month

Addepto sp. z o.o.

Expiration Date

Until further notice

Requirements

At least 1 year of proven commercial experience developing, or maintaining Big Data systems
Hands-on experience with Big Data technologies, including Databricks, Apache Spark, Airflow, and DBT
Strong programming skills in Python: writing a clean code, OOP design
Experience in designing and implementing data governance and data management processes
Experience implementing and deploying solutions in cloud environments (with a preference for Azure)
Practical knowledge of DevOps practices, including designing and maintaining CI/CD pipelines for data and ML workflows, and Terraform for Infrastructure as Code
Knowledge of how to build and deploy Power BI reports and dashboards for data visualization
Excellent understanding of dimensional data and data modeling techniques
Excellent communication skills and consulting experience with direct interaction with clients
Ability to work independently and take ownership of project deliverables

Job Responsibility

Design scalable data processing pipelines for streaming and batch processing using Big Data technologies like Databricks, Airflow and/or Dagster
Contribute to the development of CI/CD and MLOps processes
Develop applications to aggregate, process, and analyze data from diverse sources
Collaborate with the Data Science team on Machine Learning projects, including text/image analysis and predictive model building
Develop and organize data transformations using Databricks/DBT and Apache Airflow
Translate business requirements into technical solutions and ensure optimal performance and quality

What we offer

Work in a supportive team of passionate enthusiasts of AI & Big Data
Engage with top-tier global enterprises and cutting-edge startups on international projects
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications
Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off
Participate in team-building events and utilize the integration budget
Celebrate work anniversaries, birthdays, and milestones
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching
Get full work equipment for optimal productivity, including a laptop and other necessary devices
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups

Fulltime

Junior Data Engineer

Our client is seeking a Junior Data Engineer with either Internship or 1-2+ year...

Location

United States , Boston

Salary:

50.00 - 60.00 USD / Hour

Beacon Hill

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, or a related field
Graduated from a strong academic program (top-tier or rigorous curriculum preferred), especially if work experience is limited
Strong proficiency in writing clean, modular, and testable code in Python
Experience with data processing frameworks and libraries in Python
Advanced SQL querying skills
Experience working with large datasets in SQL
Troubleshooting skills

Fulltime

Junior Data Engineer

Our client is seeking a Junior Data Engineer with either Internship or 1-2+ year...

Location

United States , Boston

Salary:

50.00 - 60.00 USD / Hour

Beacon Hill

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, or a related field
Graduated from a strong academic program (top-tier or rigorous curriculum preferred), especially if work experience is limited
Strong proficiency in writing clean, modular, and testable code in Python
Experience with data processing frameworks and libraries in Python
Advanced SQL querying skills
Experience working with large datasets in SQL
Troubleshooting skills

Fulltime

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Junior Data Engineer (Databricks)

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