Senior Databricks Data Engineer Job at Inetum (Bucharest)

Senior Data Engineer

Senior Data Engineer role driving Circle K's cloud-first strategy to unlock the ...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Engineering, Computer Science or related discipline
Master's Degree preferred
5+ years of ETL design, development, and performance tuning using ETL tools such as SSIS/ADF in a multi-dimensional Data Warehousing environment
5+ years of experience with setting up and operating data pipelines using Python or SQL
5+ years of advanced SQL Programming: PL/SQL, T-SQL
5+ years of experience working with Snowflake, including Snowflake SQL, data modeling, and performance optimization
Strong hands-on experience with cloud data platforms such as Azure Synapse and Snowflake for building data pipelines and analytics workloads
5+ years of strong and extensive hands-on experience in Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, Data Warehouse and Big Data
5+ years of experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Databricks/Spark, Azure SQL DW/Synapse, and Azure functions
5+ years of experience in defining and enabling data quality standards for auditing, and monitoring

Job Responsibility

Collaborate with business stakeholders and other technical team members to acquire and migrate data sources
Determine solutions that are best suited to develop a pipeline for a particular data source
Develop data flow pipelines to extract, transform, and load data from various data sources
Efficient in ETL/ELT development using Azure cloud services and Snowflake
Work with modern data platforms including Snowflake to develop, test, and operationalize data pipelines
Provide clear documentation for delivered solutions and processes
Identify and implement internal process improvements for data management
Stay current with and adopt new tools and applications
Build cross-platform data strategy to aggregate multiple sources
Proactive in stakeholder communication, mentor/guide junior resources

Fulltime

Senior Data Engineer

We are looking for a highly skilled Senior Data Engineer to join our team on a l...

Location

United States , Dallas

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related discipline
At least 7 years of experience in data engineering
Strong background in designing and managing data pipelines
Proficiency in tools such as Apache Kafka, Airflow, NiFi, Databricks, Spark, Hadoop, Flink, and Amazon S3
Expertise in programming languages like Python, Scala, or Java for data processing and automation
Strong knowledge of both relational and NoSQL databases
Experience with Kubernetes-based data engineering and hybrid cloud environments
Familiarity with data modeling principles, governance frameworks, and quality assurance processes
Excellent problem-solving, analytical, and communication skills

Job Responsibility

Design and implement robust data pipelines and architectures to support data-driven decision-making
Develop and maintain scalable data pipelines using tools like Apache Airflow, NiFi, and Databricks
Implement and manage real-time data streaming solutions utilizing Apache Kafka and Flink
Optimize and oversee data storage systems with technologies such as Hadoop and Amazon S3
Establish and enforce data governance, quality, and security protocols
Manage complex workflows and processes across hybrid and multi-cloud environments
Work with diverse data formats, including Parquet and Avro
Troubleshoot and fine-tune distributed data systems
Mentor and guide engineers at the beginning of their careers

What we offer

Medical, vision, dental, and life and disability insurance
401(k) plan
Free online training

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

Senior Data Engineer

We’re hiring a Senior Data Engineer with strong experience in AWS and Databricks...

Location

India , Hyderabad

Salary:

Not provided

Appen

Expiration Date

Until further notice

Requirements

5-7 years of hands-on experience with AWS data engineering technologies, such as Amazon Redshift, AWS Glue, AWS Data Pipeline, Amazon Kinesis, Amazon RDS, and Apache Airflow
Hands-on experience working with Databricks, including Delta Lake, Apache Spark (Python or Scala), and Unity Catalog
Demonstrated proficiency in SQL and NoSQL databases, ETL tools, and data pipeline workflows
Experience with Python, and/or Java
Deep understanding of data structures, data modeling, and software architecture
Strong problem-solving skills and attention to detail
Self-motivated and able to work independently, with excellent organizational and multitasking skills
Exceptional communication skills, with the ability to explain complex data concepts to non-technical stakeholders
Bachelor's Degree in Computer Science, Information Systems, or a related field. A Master's Degree is preferred.

Job Responsibility

Design, build, and manage large-scale data infrastructures using a variety of AWS technologies such as Amazon Redshift, AWS Glue, Amazon Athena, AWS Data Pipeline, Amazon Kinesis, Amazon EMR, and Amazon RDS
Design, develop, and maintain scalable data pipelines and architectures on Databricks using tools such as Delta Lake, Unity Catalog, and Apache Spark (Python or Scala), or similar technologies
Integrate Databricks with cloud platforms like AWS to ensure smooth and secure data flow across systems
Build and automate CI/CD pipelines for deploying, testing, and monitoring Databricks workflows and data jobs
Continuously optimize data workflows for performance, reliability, and security, applying Databricks best practices around data governance and quality
Ensure the performance, availability, and security of datasets across the organization, utilizing AWS’s robust suite of tools for data management
Collaborate with data scientists, software engineers, product managers, and other key stakeholders to develop data-driven solutions and models
Translate complex functional and technical requirements into detailed design proposals and implement them
Mentor junior and mid-level data engineers, fostering a culture of continuous learning and improvement within the team
Identify, troubleshoot, and resolve complex data-related issues

Fulltime

Data engineer senior

Within a dynamic, high-level team, you will contribute to both R&D and client pr...

Location

France , Paris

Salary:

Not provided

Artelys

Expiration Date

Until further notice

Requirements

Degree from a top engineering school or a high-level university program
At least 3 years of experience in designing and developing data-driven solutions with high business impact, particularly in industrial or large-scale environments
Excellent command of Python for both application development and data processing, with strong expertise in libraries such as Pandas, Polars, NumPy, and the broader Python Data ecosystem
Experience implementing data processing pipelines using tools like Apache Airflow, Databricks, Dask, or flow orchestrators integrated into production environments
Contributed to large-scale projects combining data analysis, workflow orchestration, back-end development (REST APIs and/or Messaging), and industrialisation, within a DevOps/DevSecOps-oriented framework
Proficient in using Docker for processing encapsulation and deployment
Experience with Kubernetes for orchestrating workloads in cloud-native architectures
Motivated by practical applications of data in socially valuable sectors such as energy, mobility, or health, and thrives in environments where autonomy, rigour, curiosity, and teamwork are valued
Fluency in English and French is required

Job Responsibility

Design and develop innovative and high-performance software solutions addressing industrial challenges, primarily using the Python language and a microservices architecture
Gather user and business needs to design data collection and storage solutions best suited to the presented use cases
Develop technical solutions for data collection, cleaning, and processing, then industrialise and automate them
Contribute to setting up technical architectures based on Data or even Big Data environments
Carry out development work aimed at industrialising and orchestrating computations (statistical and optimisation models) and participate in software testing and qualification

What we offer

Up to 2 days of remote work per week possible
Flexible working hours
Offices located in the city center of each city where we are located

Fulltime

Senior Data Engineer

Join a leading energy sector analytics company as we expand our innovative data ...

Location

Poland

Salary:

Not provided

Edvantis

Expiration Date

Until further notice

Requirements

At least 5 years of experience as a Data Engineer, with a proven track record of successful projects
Solid experience with relational database systems, particularly SQL Server
Advanced proficiency in Python and PySpark – the languages of data manipulation and analysis
Expertise in Databricks as a distributed data engineering platform
Expertise with Airflow and Grafana
Ability to collaborate effectively within a team environment and meet project deadlines
Strong communication skills and fluency in English

Job Responsibility

Develop and maintain scalable data pipelines using Python, SQL, AWS services(Amazon Bedrock, S3), and Databricks
Build and optimize ETL jobs in Databricks using PySpark, ensuring efficient processing of large-scale distributed datasets
Play a pivotal role in enhancing the breadth and depth of our courthouse data products
Utilize your Python expertise to parse complex datasets, manipulate intricate image data, and craft innovative data products that meet our customers’ evolving needs
Champion data quality, consistency, and reliability throughout our product lifecycle
Contribute to the development of new features and the continuous improvement of existing data systems
Design and implement distributed data engineering solutions in Databricks, leveraging PySpark for optimized workflows

What we offer

Remote-first work model with flexible working hours (we provide all equipment)
Comfortable and fully equipped offices in Lviv and Rzeszów
Competitive compensation with regular performance reviews
18 paid vacation days per year + all state holidays
12 days of paid sick leave per year without a medical certificate + extra paid leave for blood donation
Medical insurance with an affordable family coverage option
Mental health program which includes free and confidential consultations with a psychologist
English, German, and Polish language courses
Corporate subscription to learning platforms, regular meetups and webinars
Friendly team that values accountability, innovation, teamwork, and customer satisfaction

Fulltime

Senior Data Engineer

We’re growing our team at ELEKS in partnership with a company, the UK’s largest ...

Location

Salary:

Not provided

ELEKS

Expiration Date

Until further notice

Requirements

Experience in Data Engineering, SQL, ETL(data validation + data mapping + exception handling) 4+ years
Hands-on experience with Databricks 2+ years
Experience with Python
Experience with AWS (e.g. S3, Redshift, Athena, Glue, Lambda, etc.)
At least an Upper-Intermediate level of English

Job Responsibility

Building Databases and Pipelines: Developing databases, data lakes, and data ingestion pipelines to deliver datasets for various projects
End-to-End Solutions: Designing, developing, and deploying comprehensive solutions for data and data science models, ensuring usability for both data scientists and non-technical users. This includes following best engineering and data science practices
Scalable Solutions: Developing and maintaining scalable data and machine learning solutions throughout the data lifecycle, supporting the code and infrastructure for databases, data pipelines, metadata, and code management
Stakeholder Engagement: Collaborating with stakeholders across various departments, including data platforms, architecture, development, and operational teams, as well as addressing data security, privacy, and third-party coordination

What we offer

Close cooperation with a customer
Challenging tasks
Competence development
Ability to influence project technologies
Team of professionals
Dynamic environment with low level of bureaucracy

Senior Data Engineer

The Data Engineer is responsible for designing, building, and maintaining robust...

Location

Germany , Berlin

Salary:

Not provided

ib vogt GmbH

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Data Engineering, or related field
5+ years of experience in data engineering or similar roles
experience in renewable energy, engineering, or asset-heavy industries is a plus
Strong experience with modern data stack (e.g., PowerPlatform, Azure Data Factory, Databricks, Airflow, dbt, Synapse, Snowflake, BigQuery, etc.)
Proficiency in Python and SQL for data transformation and automation
Experience with APIs, message queues (Kafka, Event Hub), data streaming and knowledge of data lakehouse and data warehouse architectures
Familiarity with CI/CD pipelines, DevOps practices, and containerization (Docker, Kubernetes)
Understanding of cloud environments (preferably Microsoft Azure, PowerPlatform)
Strong analytical mindset and problem-solving attitude paired with a structured, detail-oriented, and documentation-driven work style
Team-oriented approach and excellent communication skills in English

Job Responsibility

Design, implement, and maintain efficient ETL/ELT data pipelines connecting internal systems (M365, Sharepoint, ERP, CRM, SCADA, O&M, etc.) and external data sources
Integrate structured and unstructured data from multiple sources into the central data lake / warehouse / Dataverse
Build data models and transformation workflows to support analytics, reporting, and AI/ML use cases
Implement data quality checks, validation rules, and metadata management according to the company’s data governance framework
Automate workflows, optimize performance, and ensure scalability of data pipelines and processing infrastructure
Work closely with Data Scientists, Software Engineers, and Domain Experts to deliver reliable datasets for Digital Twin and AI applications
Maintain clear documentation of data flows, schemas, and operational processes

What we offer

Competitive remuneration and motivating benefits
Opportunity to shape the data foundation of ib vogt’s digital transformation journey
Work on cutting-edge data platforms supporting real-world renewable energy assets
A truly international working environment with colleagues from all over the world
An open-minded, collaborative, dynamic, and highly motivated team

Fulltime

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Senior Databricks Data Engineer

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