Engineers - Data Platform Job at Wincent

Senior Product Designer, Data Platform - Online Data Stores and Movement Platform

We're seeking a Senior Product Designer to shape the next generation of data mov...

Location

United States

Salary:

350000.00 - 520000.00 USD / Year

DesignX Community

Expiration Date

Until further notice

Requirements

5+ years as a Product Designer (or equivalent experience)
Experience designing orchestration and/or data movement tools, databases, developer/data platform tools, or analogous complex technical products
Strong portfolio showing system‑level product work and the impact of your design leadership, including initiatives that span multiple teams
Proven track record of leading design initiatives from concept to launch
Proficient in design tools (Figma, etc.) and prototyping technologies
Strong systems thinking and ability to design scalable solutions for complex data/analytics challenges
Successfully led design strategy for complex technical products
Proven track record of influencing and aligning cross-functional partners without direct authority
Ability to navigate ambiguity, create clarity, and move complex initiatives forward with partners
Excellence in communicating design decisions to technical audiences

Job Responsibility

Shape and own design for ODS and movement platform
creating intuitive workflows that enhance data practitioner and software engineer productivity and delight
Contribute to and help drive adoption of patterns and components for operational, data‑dense UIs (runs, pipelines, lineage, diffs) that scale across the platform
Identify opportunities for innovation through research, incident analysis, and technical insight
sequence delivery for measurable impact
Create cohesive, end‑to‑end experiences with guardrails over gates (paved paths, templates, defaults) to reduce errors
Partner with product and engineering to define and improve how we measure experiences
Anticipate emerging needs and help frame design problems early
Drive end‑to‑end design for interdependent workflows
Craft and validate prototypes that effectively communicate solutions

What we offer

Health Plans
Mental Health support
401(k) Retirement Plan with employer match
Stock Option Program
Disability Programs
Health Savings and Flexible Spending Accounts
Family-forming benefits
Life and Serious Injury Benefits
Paid leave of absence programs
Flexible time off

Fulltime

Platform Engineer - Data Science Platform

Location

United States , Columbus, OH or Dallas, TX or Minneapolis, MN

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science or a related field, or equivalent practical experience
5+ years of experience supporting Data Science infrastructure
5+ years of hands-on experience with AWS-hosted Data Lake, Data Science, or AI/ML platforms
5+ years of working knowledge with Kubernetes
AWS services such as SageMaker, Glue, Lambda, Athena
CI/CD tools such as Azure DevOps
Infrastructure as Code tools such as Terraform
Container technologies including Docker and Amazon ECR
Security tools such as AQUA and Kenna
Experience producing technical documentation and written solutions

Job Responsibility

Support and maintain ongoing Data Science infrastructure operations
Design, build, and deploy AWS environments using automated CI/CD pipelines
Manage and scale large, secure cloud environments to support current and future Data Science initiatives
Implement, own, and improve the image management lifecycle process
Assist with the setup and ongoing management of AWS accounts dedicated to the Data Science platform
Develop and maintain infrastructure pipelines using CI/CD tools (e.g., Azure DevOps)
Build and manage environments using Infrastructure as Code (IaC) tools such as Terraform
Develop scripts and applications using programming languages such as Python
Manage and support database technologies including Athena, Oracle, MySQL, and PostgreSQL
Leverage AWS services to enable Data Lake, Data Science, and AI/ML workloads

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Fulltime

Data Platform Engineer (DWH / Data Management)

A global manufacturing company is seeking a Data Platform Engineer to lead the d...

Location

Japan , 東京23区,神奈川

Salary:

6000000.00 - 9000000.00 JPY / Year

Randstad

Expiration Date

March 18, 2027

Requirements

Experience in data platform / DWH / BI infrastructure development or operations
Experience with data management (data quality, governance, or cataloging)
Understanding of ETL/ELT processes and data integration
Knowledge of data architecture and data lifecycle management

Job Responsibility

Design, build, and maintain a data warehouse (DWH) integrating multiple internal data sources
Develop and implement data management frameworks (data quality, data catalog, governance)
Establish data validation, testing, and standardization processes
Manage platform operations including monitoring, backup, and recovery
Conduct technical research and evaluate new data technologies
Define and promote data management standards and best practices across the organization

What we offer

健康保険
厚生年金保険
雇用保険
土曜日
日曜日
祝日
賞与あり

Fulltime

Backend Data Engineer — Data Platform

We're looking for an engineer to support hands-on implementation and migration w...

Location

Poland

Salary:

140.00 - 170.00 PLN / Hour

Devire

Expiration Date

Until further notice

Requirements

Strong Java development skills, with experience in data platform or data engineering contexts
Practical experience with at least one JVM-based data processing framework — Flink experience is a plus
Beam, Dataflow, or Spark also relevant
Comfortable with SQL and cloud data analytics platforms, particularly BigQuery
DevOps is part of your day-to-day: you work with cloud infrastructure, containerised applications, and are familiar with Kubernetes basics
Experience working with data engineering pipelines in Scala and/or Python
You write quality code and understand what it means to ship reliably in a production environment
You can work autonomously in an ambiguous environment and move quickly without waiting to be directed

Job Responsibility

Support hands-on implementation and migration work as we evolve our data processing stack
Contribute to company wide migration efforts and platform development
Embedded in a team in Data Infrastructure PA, contributing to hands-on engineering work including large-scale pipeline migrations — validating performance and cost outcomes and helping move workloads to our evolving stack
Contribute to platform development across our Flink platform, Lakehouse architecture and beyond

What we offer

Access to benefits package at attractive prices (medical care, Multisport card, life insurance, cafeteria system)
Long-term cooperation

Fulltime

Senior Data Engineer - Data Platform

We are looking for a Senior Data Engineer - Data Platform to join our Data & AI ...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

More than 7 years of experience as Site Reliability Engineer, Data Ops, Data Platform Engineer or in a similar role, with a proven track record of building and maintaining complex data infrastructures
Strong proficiency in data engineering and infrastructure tools and technologies, such as stream and events processing (Kafka, PubSub, Firehose) and Kubernetes
Expertise in programming languages like Python
Familiar with cloud infrastructure and services, preferably AWS, Azure, or GCP, and have experience with infrastructure-as-code tools such as Terraform
Excellent problem-solving skills with a focus on identifying and resolving data infrastructure bottlenecks and performance issues

Job Responsibility

Design and implement a scalable and reliable data infrastructure that supports the collection, processing, storage, and analysis of large-scale datasets while pushing security and privacy best practices
Build and maintain data pipelines that efficiently extract, transform, and load data from various sources into our data warehouse
Implement automation and orchestration tools to streamline infrastructure provisioning, data workflows, reduce manual effort, and improve operational efficiency
Monitor data platform for performance and reliability, identify and troubleshoot issues, and implement proactive solutions to ensure data quality and availability
Streamline and monitor platform costs, identify optimizations and saving opportunities while collaborating with data engineers, data scientists, and other stakeholders

What we offer

Free comprehensive health insurance for you and your children
Parent Care Program: receive one additional month of leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
Up to 14 days of RTT
A subsidy from the work council to refund part of the membership to a sport club or a creative class
Lunch voucher with Swile card

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

Aws Data Engineer (Cloud Data Platform & Pipeline Specialist)

Design, develop, and maintain scalable cloud-based data pipelines using AWS serv...

Location

United States , Atlanta

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years of experience in data engineering, with strong hands-on expertise in AWS data services (Glue, EMR, S3, RDS, DataSync, DMS)
5+ years of Proven experience building and managing data pipelines (batch and streaming) in cloud environments
5+ years of Strong experience in data migration, transformation frameworks, and large-scale data replication
5+ years of Deep understanding of data modeling, data transformation, and reconciliation techniques
5+ years of Experience designing and implementing secure data access and governance (least privilege principles)
5+ years of Hands-on experience with data validation, auditing, and reconciliation processes
Familiarity with regulatory or finance data environments and reporting workloads
5+ years of Strong problem-solving skills and ability to work in a collaborative, fast-paced environment
AWS data services
data pipelines

Job Responsibility

Design, develop, and maintain scalable cloud-based data pipelines using AWS services such as Glue, EMR, S3, RDS, DataSync, and DMS
Build and optimize batch and streaming data orchestration workflows to support enterprise data platforms
Lead large-scale data migration efforts, including legacy-to-cloud transformations and replication strategies
Perform data modeling, transformation, and reconciliation to ensure high-quality, consistent datasets across systems
Implement secure data access patterns following least-privilege principles for pipelines and datasets
Collaborate with data architects, analysts, and business stakeholders to understand data requirements and deliver solutions
Establish robust data validation, reconciliation, and audit mechanisms to meet regulatory and reporting requirements
Troubleshoot and optimize performance of ETL/ELT pipelines and data workflows in AWS environments
Support governance, compliance, and audit readiness for data platforms in regulated environments (finance/reporting)

Fulltime

Senior Data Engineer (Integrations / Data Platform)

We are looking for a Senior Data Engineer to join our team and work remotely fro...

Location

Europe;Albania;Poland;Romania;Ukraine;Latin America

Salary:

Not provided

Sigma Software Group

Expiration Date

Until further notice

Requirements

Java / expert
Scala / expert
SQL / strong
Data Modelling / strong
GCP Dataflow / good

Job Responsibility

Design and operate a canonical data platform that integrates diverse external data sources, ensuring high quality and flexibility
Develop and maintain a canonical data platform that integrates multiple external data sources
Support both full data loads and incremental updates
Ensure high data quality
Leverage AI-assisted tools for monitoring and issue detection

What we offer

Health & Legal support
Active professional community
Continuous education and growing
Flexible schedule
Remote work
Outstanding offices (if you choose it)
Sports and community activities

Fulltime

Select Country

Engineers - Data Platform

Job Description

Job Responsibility

Requirements

What we offer

Looking for more opportunities?