Data Engineer Job at Datatonic (Zagreb)

Data Engineer

Goldman Sachs is seeking a Data Engineer to join their datastore-migration Facto...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative field
Minimum of 3-5 years of professional hands-on-keyboard coding experience in a collaborative, team-based environment
Ability to trouble shoot (SQL) and basic scripting experience
Professional proficiency in Python or Java
Deep familiarity with the full Software Development Life Cycle (SDLC) and CI/CD best practices & K8s deployment experience
Demonstrated understanding of Temporal Data Modeling (e.g., SCD Type 2)
Expertise in Schema Evolution (Ref: Iceberg Apache) and enforcement strategies
Advanced knowledge of data partitioning and clustering
Balancing Normalization vs. Denormalization and the strategic use of Natural vs. Surrogate Keys
Good conduct and ethical decision-making

Job Responsibility

Engineer will be part of the datastore-migration Factory team that will be responsible to perform for the end-to-end datastore migration from on-prem DataLake to AWS hosted LakeHouse
Pipeline Migration - Refactoring and migrating extraction logic and job scheduling from legacy frameworks to the new Lakehouse environment
Data Transfer - Executing the physical migration of underlying datasets while ensuring data integrity
Stakeholder Engagement - Acting as a technical liaison to internal clients, facilitating handoff and sign-off conversations with data owners to ensure migrated assets meet business requirements
Consumption Pattern Migration - Code Conversion: Translating and optimizing legacy SQL and Spark-based consumption patterns (raw and modeled) for compatibility with Snowflake and Iceberg
Usage analysis: Understand usage patterns to deliver the required data products
Stakeholder Engagement - Acting as a technical liaison to internal clients, facilitating handoff and sign-off conversations with data owners to ensure migrated assets meet business requirements
Data Reconciliation & Quality - A rigorous approach to data validation is required
Candidates must work with reconciliation frameworks to build confidence that migrated data is functionally equivalent to that already used within production flows
Engineer will also need to work with our other internal data management platform, and must have an aptitude for learning new workflows and language constructs as necessary

Fulltime

Data Engineer

We are looking for a Data Engineer with 8-12 years of experience to design and b...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

8–12 years of experience in Data Engineering
Strong hands on expertise in Python and SQL (Snowflake preferred)
Experience with REST APIs / data service integrations
Working knowledge of AI/ML systems, Agentic AI frameworks

Job Responsibility

Build and maintain scalable data pipelines using Python and SQL
Enable AI/ML and GenAI use cases, including data preparation and feature pipelines
Ensure data quality, reliability, security, and observability

Fulltime

Data Engineer

As our new Data Engineer, you will join a collaborative and skilled organization...

Location

Poland , Katowice

Salary:

Not provided

Vattenfall

Expiration Date

Until further notice

Requirements

Strong Python and SQL skills
Practical experience with cloud data platforms (Azure, Databricks) and with different data storage solutions, including data lakes, lake houses and analytical databases
Hands-on experience with streaming systems (Kafka, Spark or Flink)
Familiarity with Airflow, CI/CD, DevOps practices
Experience with Docker, Kubernetes, and Infrastructure-as-Code
Understanding of data contracts, time-series data, and event-driven systems
Fluency in English and interest in the energy domain

Job Responsibility

Design, build, and operate batch and real-time data pipelines using Azure, Databricks, and Python
Ingest and process external and internal data such as weather data, market prices, grid telemetry, and event streams
Work with streaming technologies including Kafka, Spark Structured Streaming, and Flink
Ensure high data quality through validation, monitoring, and lineage
Develop and improve data workflows, standards, and reliability in production systems

What we offer

Good remuneration
challenging and international work environment
possibility to work with some of the best in the field
opportunities for personal and professional development

Fulltime

Data Engineer

We are looking for a Data Engineer to join a team focused on building reliable, ...

Location

United States , Camden

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Hands-on experience with Azure Data Factory, Azure Databricks, and Azure Data Lake in a data engineering environment
Strong programming ability in Python and PySpark for large-scale data processing and transformation
Proficiency in SQL, including writing and optimizing queries for analytics and data integration workloads
Experience building and maintaining ETL or ELT pipelines that combine data from multiple structured and semi-structured sources
Familiarity with data modeling concepts, curated dataset design, and preparation of data for BI or analytics consumption
Understanding of data governance, lineage, and security practices within modern cloud data platforms
Experience using GitHub or similar tools for source control, code review, and deployment automation
Ability to communicate effectively with business partners and translate functional needs into scalable technical solutions

Job Responsibility

Create and support scalable data ingestion and transformation workflows using Azure Data Factory, Databricks, and PySpark
Connect and consolidate data from enterprise platforms, operational databases, telematics feeds, APIs, and other internal or external sources
Structure and manage data within Azure Data Lake and lakehouse environments to support performance, accessibility, and long-term maintainability
Design curated datasets, data models, and schemas that improve usability for analytics, business intelligence, and downstream reporting
Apply governance and lineage practices through Unity Catalog while promoting strong data quality, consistency, and security standards
Work with business stakeholders and cross-functional teams to gather requirements, define technical specifications, and deliver data solutions aligned with operational needs
Improve pipeline stability and efficiency by troubleshooting failures, resolving performance issues, and refining storage and query strategies
Support Power BI reporting by preparing datasets, assisting with model improvements, and helping maintain reporting standards and governance practices
Use GitHub-based development practices for version control, peer review, CI/CD, and disciplined deployment processes
Mentor less-experienced engineers and contribute to a collaborative environment focused on continuous improvement and dependable delivery

What we offer

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

Fulltime

Data Engineer

We are looking for an experienced Data Engineer to design and support data excha...

Location

United States , Asheboro

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Experience working in a manufacturing environment
7+ years of experience in data engineering, data integration, or ETL-focused roles
Proven background working with data transformation, analytics, and system-to-system integrations using APIs, EDI, X12, XML, or similar structured formats
Hands-on experience with SQL in support of data movement, validation, and troubleshooting
Familiarity with database platforms such as SQL Server and Oracle, including querying and supporting downstream BI solutions
Understanding of supply chain operations within a manufacturing environment, with the ability to map business events into technical data processes
Experience using Microsoft Excel for data analysis, validation, or reconciliation tasks

Job Responsibility

Build and maintain business-to-business data interfaces that onboard new partner organizations and align incoming data with internal database structures
Develop automated workflows that ingest, transform, validate, and deliver data using file-based exchanges, APIs, and structured transaction formats such as EDI and X12
Configure and manage end-to-end integration processes across system interfaces, including flat-file handling, file sharing, and reporting-related data movement
Lead data transformation efforts through the full lifecycle by designing solutions, testing functionality, deploying processes, and stabilizing production performance
Investigate integration failures or data quality issues, identify root causes, and implement corrective actions to restore reliable processing
Partner with business intelligence and reporting teams to provide access to accurate, usable data sources that support analysis and operational decision-making
Apply manufacturing and supply chain process knowledge to structure data flows that support purchasing, components, orders, and assembly-related transactions
Use available tools and platforms to execute integration projects independently, including extracting data from enterprise applications and translating it into usable formats
Create scalable data pipelines that enable customer and order transactions to move through systems with minimal manual intervention

What we offer

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

Fulltime

Data Engineer

Join us as a Data Engineer at Barclays, where you will spearhead the evolution o...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

AWS hands on with S3, EC2, Lambda, RDS, Glue, Athena, data pipelines, step function and knowledge of Analytical services
Experience of distributed computing architecture, Core Hadoop components (HDFS, Spark, Yarn, HIVE, Impala)
Expertise in SQL, advanced SQL skills
Expertise in shell scripting and programming (Scala/Python)
Experience of Ab Initio implementation on Hadoop (Optional)
Experience of Technical Design for ETL/Hadoop/AWS components

Job Responsibility

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

Data Engineer

In this vital role as Data Engineer at Amgen, you will play a key role in design...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Engineering, IT, or a related field
4–7 years of relevant data engineering experience, with strong hands-on ETL background
Strong experience with Informatica (PowerCenter, IICS)
Strong SQL skills for data extraction, transformation, and analysis
Solid understanding of data modeling and entity relationships
Working knowledge of Python and/or PySpark
Experience supporting production data pipelines and resolving data issues
Ability to work effectively in global, cross-regional teams
Strong problem-solving and analytical mindset
Excellent communication and collaboration skills

Job Responsibility

Design, develop, maintain, and optimize ETL pipelines using Informatica, ensuring high data quality, performance, and reliability
Support and contribute to the future transition of Informatica workloads to Databricks (Spark, Delta Lake)
Build and enhance data pipelines for ingestion, transformation, and processing of large-scale datasets supporting OUS Field Engagement use cases
Collaborate with Data Architects, Business SMEs, Product Owners, and Senior Data Engineers across JAPAC and ELMAC regions to deliver end-to-end data solutions
Participate actively in a SAFe/Agile team, contributing to PI planning, sprint execution, and continuous improvement
Support data governance, metadata management, and data quality initiatives
Identify, troubleshoot, and resolve complex data issues across systems
Apply best practices for coding, testing, documentation, and reusable component design
Translate business and technical requirements into well-structured development tasks
Execute unit and integration testing to ensure solution robustness and compliance with quality standards

Fulltime

Data Engineer

Ever-expanding technology like IoT, machine learning, and artificial intelligenc...

Location

United States , Fort Meade

Salary:

77600.00 - 176000.00 USD / Year

Booz Allen Hamilton

Expiration Date

Until further notice

Requirements

6+ years of experience as a data engineer
Experience designing, implementing, and maintaining scalable data pipelines for structured and unstructured data
Experience preparing validated, normalized, and secure datasets for AI/ML model development
Experience implementing data governance practices, including access control, lineage tracking, and dataset documentation
Experience developing dashboards and metrics for data and pipeline monitoring
Experience building automated ETL workflows and CI/CD pipelines for data processes
Experience optimizing data workflows across on‑prem, cloud, or hybrid environments
Ability to monitor and improve pipeline performance in coordination with operations teams
TS/SCI clearance with a polygraph
HS diploma or GED

Job Responsibility

Help clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence
Build advanced technology solutions and lead data engineering activities
Guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful
Collaborate closely with AI Model Engineers, Network and Cloud Architects, the ISSE, and other technical leaders to guide the development of scalable, mission‑aligned data pipelines
Apply expertise in data engineering, exploratory analysis, and feature development to shape how datasets are assessed, designed, transformed, and maintained for AI/ML workloads
Help ensure high‑quality, well‑governed data flows that enable reliable model performance across operational, research, and enterprise systems

What we offer

Health, life, disability, financial, and retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program

Fulltime

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