Senior Software Engineer (Cloud ETL & Data) Job at Bentley Systems (Vilnius)

Senior Software Engineer (Cloud ETL & Data)

We are seeking a data-centric Senior Software Engineer to design, build, and evo...

Location

Lithuania , Vilnius; Kaunas

Salary:

6500.00 EUR / Month

Bentley Systems

Expiration Date

Until further notice

Requirements

Graduate or postgraduate degree in Computer Science, Software Engineering, or equivalent experience
7+ years of professional experience in software engineering with exposure to distributed or cloud based systems
Strong experience with Azure, microservices, containers, and Kubernetes
Hands on experience building ETL pipelines, workflow based systems, or event driven architectures
Solid proficiency in an object-oriented language, with a preference for C# .NET
Solid understanding of observability, CI/CD, reliability, and cloud operations
Strong problem solving skills and the ability to deliver production quality software.

Job Responsibility

Design and build robust, scalable ETL pipelines for parsing, validating, and transforming diverse engineering data formats
Develop and implement strategies for schema management and versioning within data synchronization workflows
Architect solutions that guarantee deterministic execution, fault tolerance, and transactional consistency for all data operations
Build distributed, event-driven, and task-oriented systems using microservices, messaging, and containerized workloads on Microsoft Azure
Implement resilience patterns such as retries, circuit breakers, and rate limiting to ensure high availability
Design and implement concurrency control, idempotency, and conflict-resolution patterns in distributed data workflows
Build and maintain comprehensive observability, including structured logging, metrics, and distributed tracing
Collaborate with architects on high-level design and implementation decisions
Mentor junior engineers through code reviews and technical guidance
Contribute to shared engineering standards and documentation.

What we offer

A great Team and culture
An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction
An attractive salary and benefits package
A commitment to inclusion, belonging and colleague wellbeing through global initiatives and resource groups
A company committed to making a real difference by advancing the world’s infrastructure for better quality of life
Training and professional development opportunities (certifications programs, conferences etc.)
Additional annual leave days and extra paid days for different occasions
Health insurance package and accidents insurance 24/7
Referral program with bonuses
Extra paid day for volunteering in the organization of your choice

Fulltime

Software Developer - Senior / Senior Data Engineer

Imagine being at the forefront of protecting financial integrity and enabling cr...

Location

United States , Southlake, TX or Austin, TX

Salary:

55.92 - 62.13 USD / Hour

Aquent

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field
8+ years of hands-on experience in data management, including gathering data from diverse sources, consolidating it into centralized locations, and transforming it with business logic for consumption in visualization and data analysis
Strong expertise in BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, and related cloud platform services
Proficiency in Python and SQL for data processing and automation
Extensive experience with ETL processes and data pipeline design
Excellent problem-solving skills and meticulous attention to detail
Strong communication and collaboration skills, with the ability to actively listen, dialogue freely, and verbalize ideas effectively
Ability to thrive in an Agile work environment, delivering incremental value to customers by effectively managing and prioritizing tasks

Job Responsibility

Design, build, and maintain robust and scalable data pipelines using cloud platform tools such as BigQuery, Cloud Storage, Dataflow (Apache Beam), Cloud Composer (Airflow), and Pub/Sub
Develop high-performance, production-grade Python and SQL code, optimizing queries for efficient data extraction, transformation, and loading (ETL) processes
Implement complex data models in BigQuery, leveraging partitioning, clustering, and materialized views to achieve optimal performance
Collaborate closely with cross-functional teams, including business customers and Subject Matter Experts, to gather data requirements and deliver impactful solutions
Implement and uphold best practices for data quality, data governance, and data security
Proactively monitor and troubleshoot data pipeline issues, ensuring high availability and performance of critical data flows
Contribute to strategic data architecture decisions, providing recommendations for continuous improvement of data pipelines
Stay current with emerging trends and technologies in cloud-based data engineering and cyber security to drive innovation
Lead investigation and resolution efforts for identified data issues, taking ownership to resolve them in a timely manner
Document processes and procedures thoroughly for producing accurate metrics and ensuring operational clarity

What we offer

subsidized health, vision, and dental plans
paid sick leave
retirement plans with a match

Senior Software Engineer - Data Products

We are seeking a highly skilled Senior Software Engineer with deep expertise in ...

Location

India , Bengaluru

Salary:

Not provided

Roku

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.
Expertise with at least one of the following Apache Druid, StarRocks, and Trino.
Strong understanding of SOLID principles and distributed systems architecture.
Proven experience in distributed data processing, data warehousing, and real-time data pipelines.
Advanced SQL skills, with expertise in query optimization for large datasets.
Exceptional problem-solving abilities and the capacity to work independently or collaboratively.
Excellent verbal and written communication skills.
Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred)
Familiarity with additional big data technologies, including Hadoop and Kafka.

Job Responsibility

Design and build APIs and backend services using Spring Boot to support data products and analytics workflows.
Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews.
Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.
Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.
Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets.
Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.
Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions.
Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.

What we offer

Global access to mental health and financial wellness support and resources.
Local benefits including statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension).
Time off in accordance with local leave policies.

Fulltime

Senior Cloud Engineer, Data Processing

As a Senior Cloud Engineer, Data Processing on the Sustaining Engineering L3 tea...

Location

India , Chennai

Salary:

Not provided

Aptiv plc

Expiration Date

Until further notice

Requirements

Bachelor's Degree – Computer Science, Computer Engineering, or similar
8+ years Python and/or Golang software development experience
Proven ability to analyze and navigate legacy codebases, including independently investigating, debugging, and resolving issues without detailed documentation
Demonstrated skill at navigating ambiguity and resolving issues without detailed instructions or oversight
Experience interfacing applications with relational and non-relational databases (e.g., MySQL, MongoDB), including CRUD operations and schema design
Proficient in Linux environments and shell scripting
Deep experience with Kubernetes, AWS, RabbitMQ, MongoDB, and MySQL in production settings
Familiarity with debugging tools, performance profiling, and system optimization techniques
Strong written and oral communication skills, with the ability to clearly document and explain technical concepts

Job Responsibility

Support and enhance Aptiv’s cloud-based data processing systems for automotive datalogger data, including ingest pipelines, ETL workflows, and analytics infrastructure
Investigate, root-cause, and resolve production issues across distributed systems, often involving complex legacy code and minimal documentation
Collaborate with systems analysts, engineers, and developers to troubleshoot issues, implement improvements, and ensure system reliability and performance
Partner with internal stakeholders to develop and execute validation plans that confirm fixes and enhancements meet operational and customer expectations
Stay current with evolving cloud technologies, data processing frameworks, and tooling to continuously improve support capabilities and system efficiency

What we offer

Higher Education Opportunities (UDACITY, UDEMY, COURSERA are available for your continuous growth and development)
Life and accident insurance
Sodexo cards for food and beverages
Well Being Program that includes regular workshops and networking events
EAP Employee Assistance
Access to fitness clubs (T&C apply)
Creche facility for working parents

Fulltime

Senior Software Development Engineer, Big Data

The Zillow Group’s Housing Trends Data Engineering team brings innovative analys...

Location

United States

Salary:

152900.00 - 257100.00 USD / Year

Zillow

Expiration Date

Until further notice

Requirements

Strong proficiency in Python programming
Hands-on experience with big data ecosystems, architectures and modern data platforms, including AWS cloud data services and Lakehouse/Lakebase platforms
Hands-on experience with Databricks is a significant advantage
Proven ability to design, build, and orchestrate batch and real-time data pipelines, processing large-scale datasets from diverse sources
Practical experience with cutting-edge data engineering technologies such as SparkSQL and Spark Streaming, PostgreSQL, EKS, and Kubernetes
Familiarity with Agile/DevOps software development processes and tools such as GitLab and CI/CD
A good understanding of data science concepts, fundamental machine learning algorithms/libraries, and development lifecycle is a must-to-have
Familiarity with LLM and Agentic AI technologies and engineering patterns is a big advantage
Strong ability in performing root cause analysis to address operational issues and identify opportunities for improvement
Exceptional communication skills to drive effective customer engagement, collaborate with cross-functional teams, and clearly articulate technical concepts to technical and non-technical stakeholders

Job Responsibility

Build data systems to link raw data and concrete Housing Trends insights
Build and extend our internal forecasting model development framework
Develop and maintain scalable data products and deliver pipelines built for speed, accuracy, and consistency that will scale as our stakeholders’ need
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability and performance, etc
Collaborate with data scientists to understand their data requirements and build systems/tools that enable efficient model training and experimentation
Implement feature stores and ETL pipelines to streamline feature engineering and model development
Build and maintain infrastructure for deploying machine learning models into production environments
Be a trusted partner for our stakeholders, such as Forecasting, Zestimates, and the ML teams within the AI organization to assist them for data investigation/publication, ML model development and infrastructure support

What we offer

Eligible for equity awards based on factors such as experience, performance and location

Fulltime

Senior Engineer - Data Engineer

Position - Data Engineer

Location

India , Indore; Ahmedabad

Salary:

Not provided

Arrow Electronics

Expiration Date

Until further notice

Requirements

Experience: 4 to 8 years in software/data engineering
Proficiency in SQL, NoSQL databases (e.g., DynamoDB, MongoDB), ETL tools, and data warehousing solutions
Proficiency in Python is a must
Cloud Platforms: Azure, AWS (e.g., EC2, S3, RDS) or GCP
Experience with data visualization tools (e.g., Tableau, Power BI, Looker)
Knowledge of data governance and security practices
Experience with DevOps practices, including CI/CD pipelines and containerization (Docker, Kubernetes)
Excellent verbal and written communication skills in English
Experience working in Agile development environments
Understanding of AI and ML concepts, frameworks (e.g., TensorFlow, PyTorch), and practical applications

Job Responsibility

Design and development of real time software and Cloud/Web/mobile based software application
Analyze domain specific technical, high level or low level requirement and modification as per end customer or system requirement
Perform software testing including unit, functional and system level requirement including manual and automated
Perform code review following coding guidelines and static code analysis & troubleshoots software problems of limited difficulty
Document technical deliverable like software specifications, design document, code commenting, test cases and test report, Release note etc. throughout the project life cycle
Develop software solutions from established programming languages or by learning new language required for specific project

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

New

Senior Data Engineer

As Senior Data Engineer you will be responsible for designing, building, maintai...

Location

Portugal , Lisbon

Salary:

35571.65 - 48126.35 EUR / Year

Amgen

Expiration Date

Until further notice

Requirements

Bachelor's degree and 3 to 5 years of Computer Science, IT or related field experience
Proficiency in Python, PySpark, and Scala for data processing and ETL (Extract, Transform, Load) workflows, with hands-on experience in using Databricks for building ETL pipelines and handling big data processing
Experience with data warehousing platforms such as Amazon Redshift, or Snowflake
Strong knowledge of SQL and experience with relational (e.g., PostgreSQL, MySQL) databases
Familiarity with big data frameworks like Apache Hadoop, Spark, and Kafka for handling large datasets
Experienced with software engineering best-practices, including but not limited to version control (GitLab, Subversion, etc.), CI/CD (Jenkins, GITLab etc.), automated unit testing, and Dev Ops

Job Responsibility

Design, develop, and maintain data solutions for data generation, collection, and processing
Be a key team member that assists in design and development of the data pipeline
Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
Implement data security and privacy measures to protect sensitive data
Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
Collaborate and communicate effectively with product teams

What we offer

Work That Matters – Build tech that accelerates scientific breakthroughs and helps patients worldwide
Modern Tech Stack – Cloud-first, automation-focused, AI-powered
Global Scale, Agile Mindset – Collaborate across continents while working in nimble, high-impact teams
Continuous Learning – Access to certifications, trainings, mentorship, and career mobility
AMGEN Total Rewards Plan – Comprehensive benefits in healthcare, finance, and well-being
Flexibility – Hybrid work model with time split between our Lisbon office and remote work

Fulltime

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Senior Software Engineer (Cloud ETL & Data)

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