Senior Software Engineer (AWS & Data) Job at Cyclad Sp. z o.o.

Senior Software Engineer, Data

We're the world's leading sports technology company, at the intersection between...

Location

Austria , Vienna

Salary:

Not provided

Sportradar

Expiration Date

Until further notice

Requirements

5+ years of data engineering experience with proven track record of leading complex data projects from conception to delivery
Exceptional communication skills and experience working in cross-functional teams with analysts, product managers, and business stakeholders
AWS & Data Engineering: Very strong hands-on experience with AWS services (S3, Lambda, Glue, Athena, Redshift, EMR, etc.) and proficiency with Apache Spark for large-scale data processing
Backend Development: Strong experience with Python for building data processing services and APIs, plus expert-level SQL for data processing and analytics
Infrastructure & DevOps: Hands-on experience with Docker, Terraform, and CI/CD pipelines with automation best practices for data systems
Clean Code Advocate: Strong commitment to writing clean, maintainable, well-documented code with comprehensive testing and deep knowledge of analytics/reporting requirements
Data Architecture: Experience designing scalable data architectures, data modeling, and optimizing data processing workflows
Dashboard Development: Experience creating and managing analytics dashboards in bi tools (Tableau, Qlik Sense, Quicksuite, Power BI) and data visualization solutions to present complex insights to stakeholders

Job Responsibility

Scale & Performance Engineering: Processing and analyzing terabytes of advertising data with sub-second query performance while building and maintaining robust ETL pipelines using Spark and AWS services to handle massive data volumes daily
Data Pipeline Architecture & Development: Designing and building scalable data processing systems, developing backend APIs and microservices (Python or Go), architecting data flows that support both batch and real-time analytics requirements, and managing user-facing dashboards that visualize complex data insights
Infrastructure & Data Quality Operations: Implementing robust monitoring and alerting systems to detect data quality issues, managing AWS infrastructure using Terraform, implementing CI/CD best practices, and maintaining high coding standards across data processing systems
Cross-Functional Leadership & Collaboration: Leading large-scale data projects from requirements gathering through delivery, bridging technical implementation with business requirements, mentoring team members, and presenting technical concepts to stakeholders while challenging requirements constructively
End-to-End Data System Ownership: Taking complete ownership of complex data engineering projects while ensuring high availability and accuracy for both internal stakeholders and external clients, championing clean code principles, and serving as a knowledge leader who supports delivering the right data solutions

What we offer

A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US)
Ability to shape your own workday and career via a clearly defined professional and personal development plan
Opportunity to work with senior leadership, develop yourself and build your career within an inspiring and fast-growing company and digital sports environment
A vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants
A company culture that promotes social aspects, sports, physical exercise and fun
Innovative and cross-team challenges like ShipIt, office sports tournaments in Darts and Table Tennis and unique beer brewing competitions
Competitive salary and benefits (e.g. retirement pension and insurance plan)
Sportradar takes over the full costs of € 365.- for the Öffi-Ticket (Jahreskarte) for you

Fulltime

Senior Software Engineer (Data)

Optiver is a global market maker founded in Amsterdam, with offices in London, C...

Location

Australia , Sydney

Salary:

Not provided

Optiver

Expiration Date

Until further notice

Requirements

5+ years of experience in software engineering, with a data focus
Demonstrable proficiency in Python
Familiarity with distributed data processing and building robust data pipelines
Familiarity with the use of or concepts underpinning various Data Engineering technologies and approaches
Ability to lead projects autonomously, prioritise tasks, and deliver high-quality results
Proven success working with research and platform engineering teams to support data-driven projects
Strong problem-solving skills, focusing on efficiency, scalability, and cost-effectiveness
Excellent written and verbal communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders
A Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field

Job Responsibility

Data Pipeline Design & Development: Architect, build, and manage scalable data pipelines using Spark, Databricks, and proprietary HPC tooling, ensuring high availability, scalability, and performance
Platform and Tooling Development: Advance the state of the art of Optiver’s Research and Data platforms and tools
Cost Optimisation: Monitor and optimise resource usage in partnership with the Data Platform team, balancing performance and cost-effectiveness
Monitoring & Tuning: Implement monitoring tools and fine-tune systems for optimal throughput, latency, and reliability
Cross-Functional Collaboration: Work closely with global Data Platform teams to maintain alignment on data strategy, tools, and best practices
Documentation & Standards: Develop and maintain clear documentation of data pipeline architectures, processes, and best practices
Mentorship & Guidance: Provide technical mentorship to junior engineers and support the growth of the data engineering function in Sydney

What we offer

The chance to work alongside best-in-class professionals
Competitive remuneration, including an attractive bonus structure and additional leave entitlements
Training, mentorship and personal development opportunities
Gym membership plus weekly in-house chair massages
Daily breakfast, lunch and an in-house barista
Regular social events including a company trip every two years
Guided relocation, a competitive relocation package and visa sponsorship where necessary

Fulltime

Senior Data Software Engineer (Python & PySpark) - Vice President

The Senior Data Software Engineer is a senior level position responsible for est...

Location

Singapore , Singapore

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field
7+ years of experience in data engineering, with a strong focus on Python and big data technologies
Proven expertise in designing and implementing large-scale data processing solutions using PySpark
Extensive experience with distributed computing frameworks like Apache Spark
Strong understanding of data warehousing concepts, dimensional modeling, and ETL/ELT principles
Proficiency in SQL and experience with various relational and NoSQL databases
Experience with cloud platforms (AWS, Azure, GCP) and their data services (e.g., S3, ADLS, Google Cloud Storage, Redshift, Snowflake, BigQuery, Databricks)
Familiarity with workflow orchestration tools (e.g., Apache Airflow, Azure Data Factory, AWS Step Functions)
Experience with version control systems (e.g., Git)
Excellent problem-solving, analytical, and communication skills.

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Fulltime

Senior Software Engineer - Data Platform, AI Infrastructure

We are building a large-scale, productized data platform that powers critical in...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Strong programming experience in Python
Experience building and operating large-scale distributed systems
Hands-on experience with: Backend services or APIs (e.g., FastAPI, Flask, or similar)
Cloud-based infrastructure (Azure, AWS, or GCP)
Monitoring and observability systems (metrics, logging, alerting)
Experience designing systems with reliability, scalability, and operational clarity in mind
Proven ability to own and deliver production systems end-to-end
Ability to break down ambiguous problems, ask the right questions, and execute effectively

Job Responsibility

Design, build, and operate core components of a distributed data platform, including: Orchestration systems (e.g., Airflow or equivalent)
Backend services and APIs (Python/FastAPI or similar)
Monitoring, alerting, and reliability systems
Own the end-to-end lifecycle of platform components - from design through deployment, scaling, and maintenance
Ensure systems meet requirements for availability, performance, and data reliability at large scale
Define and enforce standardized patterns for infrastructure, deployment, and observability across the platform
Partner with data engineering teams to enable efficient, reliable data processing workflows
Diagnose and resolve complex issues in distributed systems, including performance bottlenecks and failure modes
Contribute to infrastructure-as-code and deployment systems to support reproducibility and operational excellence
Drive continuous improvements in system robustness, cost efficiency, and operational clarity

What we offer

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Fulltime

Senior Software Engineer - Data Platform

Help build the future of data by creating the technical "nervous system" of the ...

Location

United Kingdom , London

Salary:

Not provided

Multiverse

Expiration Date

Until further notice

Requirements

Significant experience in commercial software (Python, TypeScript, and Go)
Passion for modular, readable code
Understanding of how to treat "data as software"
Comfortable with cloud-native tools (AWS/Azure, Kubernetes)
Ability to explain complex architectural choices to both product managers and engineers

Job Responsibility

Architect for growth: define and refactor data models to ensure they stay fast and clear as we scale
Create a universal data layer: build GraphQL APIs and connectors so anyone can access data safely
Enable GenAI: build infrastructure for Vector Databases and AI-driven automation
Automate safety: implement "Privacy by Design" by automating security checks

What we offer

27 days holiday
5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days
8 bank holidays per year
Private medical Insurance with Bupa
Medical cashback scheme
Life insurance
Gym membership & wellness resources through Wellhub
Access to Spill - mental health support
Work-from-anywhere scheme - up to 10 days per year
Kitchen that's always stocked

Fulltime

Senior Software Engineer, Data Platform

We’re looking for a seasoned software engineer to join Parafin’s Infrastructure ...

Location

United States , San Francisco

Salary:

230000.00 - 265000.00 USD / Year

Parafin

Expiration Date

Until further notice

Requirements

4+ years of experience in software engineering with a strong background in data infrastructure, pipelines, and distributed systems
Advanced proficiency in Python and SQL
Hands-on Spark development experience
Expertise with modern cloud data stacks—AWS (S3, RDS), Databricks, and Airflow—and lakehouse architectures
Hands‑on experience with foundational data‑infrastructure technologies such as Hadoop, Hive, Kafka (or similar streaming platforms), Delta Lake/Iceberg, and distributed query engines like Trino/Presto
Familiarity with ingestion frameworks, developer‑experience tooling, and best practices for data versioning, lineage, partitioning, and clustering
Strong problem-solving skills and a proactive attitude toward ownership and platform health
Excellent communication and collaboration skills, especially in cross-functional settings

Job Responsibility

Design and build robust, highly scalable data pipelines and lakehouse infrastructure with PySpark, Databricks, and Airflow on AWS
Improve the data platform development experience for Engineering, Data Science, and Product by creating intuitive abstractions, self‑service tooling, and clear documentation
Own and maintain core data pipelines and models that power internal dashboards, ML models, and customer-facing products
Own the Data & ML platform infrastructure using Terraform, including end‑to‑end administration of Databricks workspaces: manage user access, monitor performance, optimize configurations (e.g., clusters, lakehouse settings), and ensure high availability of data pipelines
Lead projects to improve data quality, testing, observability, and cost efficiency across existing pipelines and backend systems (e.g., migrating Databricks SQL pipelines to dbt, scaling data ingestion, improving data-lineage tracking, and enhancing monitoring)
Act as the primary engineering partner for the Data Science team—embedded closely to gather requirements, design scalable solutions, and provide end-to-end support on all engineering aspects of their work
Work closely with backend engineers and data scientists to design performant data models and support new product development initiatives
Share best practices and mentor other engineers working on data-centric systems

What we offer

Equity grant
Medical, dental & vision insurance
Work from home flexibility
Unlimited PTO
Commuter benefits
Free lunches
Paid parental leave
401(k)
Employee assistance program

Fulltime

Senior Software Engineer - Data Platform

The Vibe team is a passionate, competitive bunch focused on one thing: allowing ...

Location

France , Paris

Salary:

Not provided

Vibe

Expiration Date

Until further notice

Requirements

Strong and successful experience as a Data Engineer or Software Engineer, with ownership over complex data systems
Proven ability to design scalable data architectures handling large volumes and complex computations
Solid knowledge of the big data ecosystem (batch and streaming)
Comfortable working in a cloud-native environment
Strong coding standards and attention to code quality
Perfect fluency in English

Job Responsibility

Data platform architecture & strategy: Envision the optimal architecture and operating model for Vibe’s data platform
Actively participate in the design and evolution of the company’s data stack
Make informed trade-offs between scalability, performance, reliability and cost
Data pipelines & processing: Design, build and operate batch and streaming data pipelines at scale
Handle large volumes of data generated by real-time systems
Ensure data freshness, correctness and availability across use cases
Data availability & enablement: Make data easily accessible wherever it is needed across the company
Work with other teams to understand data usage patterns and define the right solutions
Choose appropriate technologies and data models to support diverse analytical and product needs
Quality, reliability & cost control: Ensure high standards of data quality, monitoring and observability

What we offer

Very competitive compensation (salary and stock-options/BSPCE)
Remote-first (in France or elsewhere) with the option to work on-site in an ultra-cozy coworking space in the heart of Paris (Morning Laffitte)
Health insurance (Alan)
Meal vouchers (Swile)
Two annual offsites
Guaranteed childcare placement

Fulltime

Senior Software Engineer, Data Platform

We are seeking a senior software engineer to help grow our data platform as Stra...

Location

United States , San Francisco

Salary:

180000.00 - 200000.00 USD / Year

Strava

Expiration Date

Until further notice

Requirements

3+ years of experience developing data-intensive software using languages like Python, Scala, Java, Go, or Ruby
Ability to evaluate and adopt new technologies as business needs evolve
Comfortable reading and reasoning about SQL queries in data pipeline contexts (e.g., dbt models)
Understanding how transformations impact downstream systems
Hands-on experience working with distributed data processing tools (e.g., Spark, Flink, Kafka) on production datasets
Understanding of tradeoffs and appropriate use cases for data processing tools
Experience building or maintaining data pipelines using cloud data warehouses (e.g., Snowflake, BigQuery, Redshift), Data lakes (e.g., Iceberg, Hudi) or similar solutions
Understanding of performance optimization and cost considerations
Understand the underlying infrastructure needed to serve production data platforms (e.g., Kubernetes, AWS, GCP, Azure)
Experience deploying and managing data infrastructure components like clusters, storage systems, and compute resources

Job Responsibility

Collaborate with people across teams and functions that hold deep curiosity for data
Work with hefty data systems at the global scale of Strava, supporting functions including analytics, AI/ML, engineering, and finance
Help strengthen our infrastructure as we grow
Deliver value more through software, leaning into tooling and automation rather than repetitive toil
Grow your expertise in the steadily evolving technologies and ecosystem of data
Building scalable software solutions to existing data problems utilizing modern data technologies
Writing high quality and reliable code that supports our end user experience
Understanding that data security and privacy is of utmost importance
Holding empathy for the users of our platform to truly understand the challenges we address for them
Fostering an inclusive and motivating team culture to help everyone achieve their best

Fulltime

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Senior Software Engineer (AWS & Data)

Job Description

Job Responsibility

Requirements

What we offer

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