As the Vice President of Data , you will hold a critical leadership position responsible for driving strategic decisions through advanced quantitative analysis and data Science. Your expertise will be instrumental in cross-departmental collaboration with product marketing, customer service, and operations teams to ensure alignment and synergy across all areas of the business.

Responsibilities:

Lead and mentor multiple teams of Analysts, Data Scientists and Data Engineers.
Initiate & manage cutting-edge projects from ideation to delivery, including developing automated solutions.
Evaluate and improve the companys KPIs through data.
Collaborate closely with Stakeholders from Product, Marketing, Operations, Customer support and Finance and initiate data driven decisions and solutions.
Lead the analysis of complex datasets to extract valuable insights, trends, patterns, and anomalies that drive strategic decisions.
Lead the building and upgrade of existing data infrastructure to cope with performance, scalability, and growth.

We are looking for a talented and experienced BI Engineer to join our dynamic team. As a BI Engineer, you will take a major part in defining and building the core business models, playing a key role in transforming raw data into valuable insights, and enabling informed business decisions.
WHY YOU SHOULD JOIN OUR TEAM:
Our team's mission is to be the source of actionable strategic intelligence for us. The team partners with business leaders and users to add value through data, make data-informed decisions, discover insights, and share knowledge. Our company and product are focused on serving you. Being on the data team means you get early access to cutting-edge technology & are a north star for the data teams.
Responsibilities:
Data Modeling:
Develop and maintain scalable and efficient data models using dbt (data build tool) and other ETL tools.
Design and implement logical and physical data models that align with business requirements and industry best practices.
SQL Expertise:
Write and optimize complex SQL queries to extract, transform, and load (ETL) data.
To support business objectives, perform data analysis to identify trends, patterns, and anomalies.
dbt and Snowflake Implementation:
Utilize dbt to build, test, and deploy data transformations in a version-controlled environment.
Work extensively with Snowflake, leveraging its features for efficient data storage, processing, and querying.
Data Governance:
Establish and enforce data governance policies, ensuring data accuracy, consistency, and security.
Document data models, transformations, and processes for knowledge sharing and team collaboration.
Collaboration:
Work closely with business stakeholders to understand their data needs and provide actionable insights.
Collaborate with data engineers, analysts, and other team members to ensure seamless integration of data solutions.

We are looking for an experienced Senior Data Engineer to join our 'Data & AI' group. As a key member of our team, you will play a crucial role in designing and building data models, developing infrastructure, and optimizing data processes to support our data analysis, data science and engineering teams. You will collaborate with various stakeholders to ensure efficient data ingestion, processing, and analysis, contributing to the overall success of our data-driven initiatives.
Key Responsibilities:
Design and build robust data models and infrastructure to support data science and engineering teams.
Develop and optimize data processes, including ETL/ELT pipelines, for efficient data ingestion and processing.
Identify and understand business processes to derive actionable insights from the data.
Collaborate with BI analysts to create comprehensive reports and dashboards.
Implement and maintain scalable data solutions in a high-volume production environment.
Utilize modern technologies such as M3DB, Open-Search, Grafana, etc., for data processing and analysis.
Lead design initiatives for new products and contribute to best practices.
Work closely with cloud providers like AWS for data storage, computation, and orchestration.
Stay updated with advancements in data engineering, big data, and cloud technologies.

We are a global leader of iLottery solutions and services to national and state-regulated lotteries.

We are part of the Group, an iGaming powerhouse with 1100 employees spread across 8 countries.

we pride ourselves on our People first culture. Not only has it been a core value in our organization for as long as we can remember but it also runs in our DNA and is felt in every aspect of our operations.

The Core Product department owns the groups product strategy and is looking for a Data Product Manager to be part of data product team and coordinate the development of the data products spanning the central data lake, modern reporting & analytical tools, and automation.

The chosen candidate needs to be passionate about designing robust data-driven products to deliver insightful analytics and digitalization for efficient processes across the group and its customers.
What You'll Do
Responsibilities: Be a Data expert and have a deep understanding of how the data works; data producers, ELT/ETL process, data consumers, data quality, data architecture, analytics, machine learning, and cloud services.
Leading the entire Data product lifecycle: product roadmap, maintain frequent communication with different clients to understand business needs and translate these to PRDs, Features and User Stories, Interface with data engineers and QA, finalize the delivery and launch of innovative products.
Work closely with the rest of the product organizations on new initiatives to facilitate the requirement gathering process early on.
Contribute to the overall data architecture, including the investigation of data assets, technical platforms, integrations, and processes across functions, documenting the knowledge gathered.
Be a hands-on product manager involved deeply in the day to day of the data engineering team.
Oversee implementation and release workflow and deadlines.
Responsible for the Agile framework (dailys, sprint planning, retrospective).
Work with Marketing to provide Data & BI platform awareness and guides - both internally and externally.

We are making the future of Mobility come to life starting today.

we support the worlds largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models - driving efficient operations and maximizing utilization.

seeking a talented and experienced Senior Data Engineer to join our dynamic team. As a Senior Data Engineer , you will play a crucial role in optimizing and expanding our data services, driving advanced machine learning models and optimization algorithms. You will have the opportunity to work on diverse challenges such as data pipelines, optimization, prediction, modeling, transportation, and mapping.
We are looking for someone who is passionate about data engineering, with a strong background in backend development and experience in architecting and implementing data pipelines. You will collaborate with business teams and customers to understand their unique needs and requirements, and translate them into efficient and scalable data solutions. If you are a fast learner, independent, and enjoy tackling complex problems, we would love to hear from you!

Key Responsibilities:

Design and maintain production-level machine learning and data pipelines
Take full data ownership of existing and new features, including data extraction, manipulation, validation, and testing
Create, support, and maintain data marts with a focus on data integrity, performance, and long-term maintainability
Collaborate with business teams and customers to understand unique needs and requirement

We're looking for a talented, versatile, and highly independent backend engineer to join our winning team. You will be in charge of end-to-end development and you'll have a massive impact on the product and the technical decisions made.
About the Team:
The team is focused on ingesting data from multiple sources on a large scale, transforming it into Navinas structure, and serving it. The teams challenge is to work with different data protocols, ensuring the data is always fresh, accurate, and simple to use, while staying resilient and efficient.
RESPONSIBILITIES:
A key role in the research and development team
Help in creating scalable data solutions by enabling us to continuously ingest more and more medical data, to improve Navinas suggestions models
Learning and understanding the complex healthcare industry

We are seeking an adept Senior Data Engineer with a passion for tackling complex challenges across a diverse range of technologies.
Your role will involve a deep commitment to software design, code quality, and performance optimization.
As part of our Engineering team, your mission will be to empower critical infrastructure by enabling the detection, investigation, and response to complex attacks and data breaches on their networks.
You will play a pivotal role in developing pipelines to efficiently extract, transform, and load massive volumes of data.
Your expertise will contribute to the creation of a scalable, high-performance data lake that serves as a foundation for other services within the platform. Additionally, you will be responsible for translating intricate requirements into meticulous and actionable designs.
Responsibilities:
Be a significant part of the development of data pipelines to efficiently extract, transform, and load vast volumes of data.
Architect and build a scalable, high-performance data lake that supports various services within the platform.
Translate intricate requirements into meticulous design plans, maintaining a focus on software design, code quality, and performance.
Collaborate with cross-functional teams to implement data-warehousing and data-modeling techniques.
Apply your expertise in Core Linux, SQL, and scripting languages to create robust solutions.
Leverage your proficiency in cloud platforms such as AWS, GCP, or Azure to drive strong data engineering practices.
Utilize your experience with streaming frameworks, such as Kafka, to handle real-time data processing.
Employ your familiarity with industry-standard visualization and analytics tools, like Tableau and R, to provide insightful data representations.
Demonstrate strong debugging skills, identifying issues such as race conditions and memory leaks.
Solve complex problems with an analytical mindset and contribute to a positive team dynamic.
Bring your excellent interpersonal skills to foster collaboration and maintain a positive attitude within the team.

You will design, develop, and optimize ML model pipelines, and scale our models from research to production.

RESPONSIBILITIES
Building and improving our engineering infrastructure to enable and scale our applied algorithmic research and development. On a day to day, some of your responsibilities will include:

Design, Develop, Test and Maintain ETLs and services for integrating with our customers various data systems.
Design, Develop, Test and Maintain ETLs and services for building our own data processes to accommodate applied research needs as well as production needs.
Finding performance bottlenecks in our data pipelines and our machine learning pipelines and resolving them
Develop end-to-end algorithmic solutions for complex ML problems from research and training models, through design, development, evaluation and optimization.
Develop train and inference engine pipelines in a large scale distributed system.
Transform NLP and data related ML/DL algorithmic approaches into efficient and optimized production-ready solutions.
Design, Implement and Optimize ML/DL and research pipelines to improve algorithms performance.
Transform high-level product requirements into technical requirements
Brainstorm and prototype algorithmic improvements.
Work in an ambiguous environment and collect requirements from different personas in the company (Product, FE, Research, etc.)
Advise and collaborate with researchers on DL software engineering aspects (such as tools and practices).

We seek an experienced Software Engineer with a strong background to become an integral member of our Data-Core team, tasked with the mission of processing, digitizing, and analyzing hundreds of millions of data sources. Your role will be pivotal in creating a unified, up-to-date, and accurate utilities map, services, and tools for accelerating our mapping operations. Your contributions will directly impact our core product's success.

Your Mission

Collaborate with cross-functional teams to design, build, and maintain data processing pipelines, ensuring efficient data integration, transformation, and loading.
Implement geospatial data processing techniques and contribute to the visualization of data on our unified map, enhancing the product's geospatial features.
Drive the scalability and performance optimization of data systems, addressing infrastructure challenges as data volume and complexity grow.
Develop and optimize complex Python-based code for data cleansing, validation, and standardization, enhancing the quality and accuracy of datasets.
Create and manage data infrastructure components, including ETL workflows, data warehouses, and databases, supporting seamless data flow and accessibility.
Collaborate in designing and implementing data architecture, ensuring effective data storage, retrieval, and security.
Design and implement CI/CD processes for data processing, model training, releasing, and monitoring, ensuring robustness and consistency.

Were looking for an exceptional data engineer to join our journey to create a data-based platform that will transform the shipping industry.
As a senior data engineer, you will take an instrumental part in laying the foundations and building the data infrastructure in the company, plan and implement the relevant data infrastructure and tools, be in charge of pipelining the companys data and be responsible for the integrity of the data as we scale up.
Responsibilities:
Contribute to the ongoing management of the data team platform including platform enhancements, capacity management, performance monitoring, troubleshooting and resolution of technical issues
Designing and optimizing data storage solutions, including data warehouses and data lakes.
Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
Developing and maintaining data pipelines for efficient extraction, transformation, and loading (ETL) processes.
Participate in proofs-of-concept on platform innovation, and effectively transition and scale those concepts into production at scale through, engineering, deployment and commercialization.
Part of a cross-disciplinary team, working closely with other data engineers, software engineers, data scientists, data managers and business partners.