Aliz is a global solution provider for the Google Cloud Platform (GCP) focusing on Europe and Asia. We are building scalable applications, IT infrastructures, Big Data, and machine learning solutions as a certified Google partner. We have offices in Hungary, Germany, Singapore, and Indonesia. We are looking for an experienced Big Data Architect colleague in Germany who will create an amazing experience for our customers as they build and maintain solutions in the Google Cloud. You are looking for us if - a dynamic project environment excites you more than painfully slow development. - building things from scratch motivates you more than refactoring legacy codes. - working with different people on different problems is refreshing for you. - solely designing complex solutions doesn’t satisfy you because you also want to actively take part in the implementation of your plans. - keeping your knowledge up-to-date is just as important to you as sharing it. We are looking for you if you - are a data architect with at least 6 years of hands-on coding experience (Java/Python and SQL). - have at least 3 years of working experience with Google Cloud Platform (and/or Professional Google Cloud certifications). - are very comfortable working with BigQuery, Kubernetes, Airflow (Cloud Composer), and dbt Core. - have experience in the telecommunication industry, banking, or financial services. - have great communication skills in English and speak German fluently. - want to use your technical leadership skills to guide both our engineers and our clients’ engineers on their cloud journey. - thrive in a collaborative environment, where you can take on a lead role to guide the data team in agile practices. Your diverse role will include - architecting and creating data pipelines, data platforms, and data warehouses on GCP. - being a trusted GCP technical consultant and trainer for our clients’ tech teams. - being part of the clients’ engineering team and implementing relevant new practices. - communicating efficiently with a conflict resolution and stakeholder management focus while representing a holistic approach to project delivery. - tech leadership and mentorship. - being responsible for the end-to-end development lifecycle. - presales activities and proof-of-concept delivery. You will enjoy - using cutting-edge technologies and learning from A+ Big Data and Google Cloud experts. - career development opportunities with regular feedback and the chance to mentor talented juniors and mediors. - maintaining a healthy work-life balance with financial initiatives to support physical and mental health and green commuting. - a remote but collaborative working environment. - flexible working time to adapt to when you feel most productive. - employee counseling opportunity with coaches and contracted psychologists. - continuous training and learning opportunities with yearly allocated learning hours from working time and dedicated mentorship by experienced colleagues. - last but not least, a great community. :) About Aliz Aliz was founded by a group of driven software engineers with one vision in mind: Build a human-centered company to solve exciting business challenges with cutting-edge technologies all around the globe. Our team includes engineers, industry experts, and digital professionals who ensure our clients are ready to face the challenges of the ever-changing digital world. Aliz is a proud Google Cloud Partner with specializations in Infrastructure, Data Analytics, Cloud Migration, and Machine Learning. We deliver data analytics, machine learning, infrastructure, and application development solutions, off the shelf, or custom-built on GCP using an agile, holistic approach. Recently we've launched our very own cloud cost optimization tool Rabbit. Life has been pretty exciting at Aliz recently (here's proof). After we became Google Cloud’s Breakthrough Partner of the Year in APAC (2019), we built a team in Singapore and Berlin, opened an engineering hub in Jakarta, launched a business in Italy and Qatar, and started to support IT education. You couldn’t pick a better time to join this world-class team of cloud experts.

We are Kubikware™, a digital agency with 20+ years of experience designing and developing web and mobile platforms, as well as video games, AR/VR apps, and AI/ML. We are headquartered in Miami, FL with a strong South American team, and have clients and partners in the US market of all sizes and verticals. Among other accolades, we are a 5-time Inc. 5000 Fastest Growing Companies in America honoree We are looking to expand our amazing roster with a Python Engineer with Data Focus who is well-versed in Python/Django, has strong Data Engineering (PySpark) foundations, and is located in Latin America. We are looking for: - 5+ years in Python/Django and SQL/Postgres. High proficiency in Databricks and PySpark. - Hands-on experience with FastAPI and GraphQL. - Solid knowledge of Kubernetes, Monitoring tools, and CI/CD (Azure DevOps/YAML). - Expert in TDD, Automated Testing, Pair Programming, and AI Code Assistance. - Experience in Geospatial / GIS and data visualization with Tableau. - Excellent written and verbal communication skills We offer: - Fully remote - Long-term - Full-time - No timezone shifting - Compensation in US Dollars If you are as excited to learn more as we are about working with you, please submit your resume and let’s be in touch! Please no agencies or C2C.

Hi! We're on the lookout for a vibrant Data Engineer to join Noda, a licensed UK Payment Institution and the brains behind an innovative Open Banking payments platform. If you're fueled by fintech excitement and seek a global career journey, keep reading! What is Noda? Noda is reshaping online payments, allowing seamless transactions from customers to merchants' bank accounts. Now we're looking for a talented Data Engineer to be part of our dynamic team. Your mission: - Design, implement, and maintain scalable data pipelines using Airflow, Airbyte, DBT, and Snowflake, with some use of Azure Data Factory. - Implement Medallion architecture in Snowflake, managing bronze, silver, and gold layers. - Ensure reliable ETL processes, data transformations, and data integration workflows. - Help improve data modeling practices and address weaknesses in dimensional modeling. - Work closely with data analysts, product analysts, and business stakeholders to understand requirements, gather data, and deliver solutions aligned with business goals. - Conduct regular performance tuning and troubleshooting. - Integrate Data from Various Sources: SQL, noSQL, APIs and other tools to pull and integrate data from different sources, building pipelines that deliver consistent, accurate information across platforms. - Document data architecture, processes, and troubleshooting guides, providing clear resources for the team and ensuring continuity in data operations. What are your skills and experience: - Strong skills in SQL. - Proficiency in Python for automation and data tasks. - Familiarity with designing and managing data pipelines and ETL processes. - DBT hands-on experience in creating models as per requirements, using macros, jinja scripting, hooks, automated tests, snapshots, and DBT packages. - Understanding Snowflake concepts like data sharing, replication, dynamic data, using masking policies, secure views, row access policies concepts, tags, streams, tasks, external tables, time travel, clone, storage integration, stages, clustering of larger tables on clustering keys, and role-based access control. - Familiarity with data warehouse design. - Knowledge of data modeling techniques (star/snowflake schemas). - Russian native/fluent - English Upper-Intermediate+ What do we offer? - Your office, your rules: remote-first setup with full flexibility - work from home, one of our offices, a café, or while exploring new places. Wherever you feel most productive, that’s your office. - Keep growing: your growth is our priority. We cover trainings, courses, and certifications so you can sharpen your skills and stay ahead in your field. - Strong connections: distance doesn’t stop us from building great bonds. From virtual hangouts and creative online sessions to local meet-ups and company-wide events, you’ll always feel part of the team. - All the gear you need: we provide the hardware you need and a budget for your home office setup, making sure you’ve got the perfect tools to succeed. - Time to recharge: we value balance just as much as results. That’s why we offer plenty of time off to rest, reset, and come back energised. - Wellbeing budget: your wellbeing matters just as much as your work. We provide a dedicated budget you can spend on what helps you feel your best — whether it’s fitness memberships, mental health support, massages, or other activities that keep you energised, focused, and balanced. What happens once you apply: - Your CV will undergo careful review, and we'll quickly update you on the next step in our recruitment journey. - Get ready for an easy-going 30-minute screening call with our recruiter, where you'll delve into the heart of our company, product, and team dynamics, while sharing your own experiences and aspirations. - Should the vibe match and your expectations align, up next will be an engaging interview with our Head of BI and Analytics. - Then you will have a final conversation with our HR Director and CEO - And if everything clicks, anticipate a thrilling job offer landing in your inbox soon! We do our best to close interview rounds within 3 weeks, although sometimes it might take slightly longer. Send your application our way, we look forward to meeting you!

Overview DecisionPoint seeks a DevSecOps Engineer (Data & Integration) to support automation, security, and monitoring of data integration and analytics platforms within a secure, cloud-hosted Department of Defense (DoD) enterprise environment. The engineer will design, implement, and maintain CI/CD pipelines, containerized workloads, and infrastructure automation supporting critical data ingestion, transformation, and exchange services. This position ensures seamless deployment, secure data flow, and operational stability across AWS GovCloud IL4/IL5 environments, applying Zero Trust principles and continuous compliance monitoring throughout the software delivery lifecycle. This position is fully remote. Note: By applying to this position, you acknowledge and consent to having your resume included in an active competitive government contract bid. Duties & Responsibilities The DevSecOps Engineer (Data & Integration) will: - Design, implement, and maintain CI/CD pipelines to automate build, test, and deployment processes for data integration and analytics components. - Support secure and efficient data pipeline deployment across AWS GovCloud and DoD environments. - Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or Ansible to manage and provision infrastructure at scale. - Build, configure, and maintain containerized applications using Docker and Kubernetes for data ingestion, transformation, and API services. - Integrate security scanning and compliance validation into CI/CD pipelines using tools such as SonarQube, Twistlock, or Anchore. - Implement and manage monitoring and alerting systems (CloudWatch, ELK Stack, Prometheus, Grafana) to ensure system health and performance. - Collaborate with developers, data engineers, and security teams to ensure DevSecOps best practices are applied across integration workflows. - Support continuous integration testing for data migration, transformation, and interoperability validation. - Maintain configuration baselines and deployment artifacts in compliance with DoD RMF and STIG standards. - Automate backup, recovery, and failover procedures to ensure mission resilience and data availability. - Provide Tier 3 technical support for deployment troubleshooting, root cause analysis, and remediation. - Develop and maintain technical documentation for CI/CD pipelines, IaC templates, and operational runbooks. - Contribute to Continuous Service Improvement (CSI) activities and DevSecOps maturity assessments. Qualifications Clearance Requirement: - Must hold an active Top Secret clearance. Education: - Bachelor’s degree in Computer Science, Information Technology, or a related technical field. Experience: - Minimum 5 years of experience supporting DevSecOps, cloud infrastructure, or data integration environments. - Experience building and managing CI/CD pipelines and infrastructure in federal or defense cloud environments. - Demonstrated success deploying and maintaining secure, containerized applications and data services. Technical Knowledge: - Proficiency with AWS GovCloud, container orchestration (Docker, Kubernetes), and serverless technologies. - Experience with CI/CD tools such as Jenkins, GitLab CI/CD, or AWS CodePipeline. - Familiarity with Terraform, CloudFormation, or other IaC automation frameworks. - Experience with log management and monitoring using CloudWatch, ELK Stack, or Prometheus. - Understanding of DevSecOps principles, Zero Trust architecture, and RMF/STIG security compliance. - Familiarity with data engineering workflows, including ETL, API integration, and data synchronization. - Knowledge of networking, security groups, IAM roles, and encryption mechanisms within DoD or FedRAMP cloud environments. Certifications (Preferred): - AWS Certified DevOps Engineer – Professional or Associate. - CompTIA Security+ CE or equivalent DoD 8570 certification. - Certified Kubernetes Administrator (CKA) or Docker Certified Associate (DCA). Skills: - Strong analytical and troubleshooting skills for complex cloud and integration environments. - Excellent communication and teamwork across cross-functional Agile teams. - Ability to design, implement, and optimize secure automation processes. - Commitment to continuous improvement, security enforcement, and mission readiness. Our Equal Employment Opportunity Policy - EEO and Affirmative Action Policy: DecisionPoint Corporation is an Equal Employment Opportunity and Affirmative Action employer. It is the policy of DecisionPoint Corporation to provide equal employment opportunity in accordance with all applicable Equal Employment Opportunity/Affirmative Action laws, directives and regulations to all employees and qualified applicants without regard to race, ethnicity, color, religion, national origin, sex, age, disability status, pregnancy, sexual orientation, gender identity, genetic information, protected veteran status, or any other protected status under Federal, State or Local laws. - Pay Transparency Policy: In accordance with Presidential Executive Order 13665, DecisionPoint Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. - Authorization to Share Resume and Personal Information: By expressing your interest and submitting your resume for this position, you authorize DecisionPoint Corporation to share your resume, as well as personal information included on the resume, with its subsidiaries, affiliates and teaming partners for the purpose of considering you for this position and other available positions requiring comparable skills, education and experience. Should DecisionPoint Corporation. or its affiliates and teaming partners wish to initiate pre-employment discussions, you will be asked to complete an employment application and related employment documents.