As the traditional music companies fought technology and contracted, Kobalt embraced it and grew, building an infrastructure and world-class creative team purposely designed to usher in the streaming era, along with a more fair, rewarding music business for creators. Terraform, CloudFormation, . Proposes new ideas or improvements to processes that benefit the team or company. Meeting free Fridays afternoon outside of the summer months.
Senior Digital Data Loss Investigator Location: Macclesfield, UK Competitive Salary and Benefits Closing Date: 22nd September 2024 Hybrid role: 3 days in office and 2 days working from home About the role Cybersecurity Defence Operations (CSDO), which sits within ETS, is fundamental to enterprise information security and responsible for detecting, analysing, and responding to real or potential security incidents. Collaborate with relevant support teams and stakeholder to gather data to support investigations into potential Data Loss incidents, other security incidents, insider threats, and legal discovery requests. A natural curiosity towards investigative analysis, with a proactive approach to uncovering potential data loss incidents and proclivity to ask why and delve deeper into the root causes of data security incidents, enabling comprehensive understanding and effective resolution. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
Bottomline is a global leader in business payments and cash management, with over 30 years of experience and moving more than $10 trillion in payments annually. We're proud to be an equal opportunity employer, committed to creating an inclusive and open environment for everyone.
4 years of experience managing projects or supporting the planning and development of agreements. Experience with any of the following: site selection for industrial-scale projects, real estate transaction, real estate evaluation, acquisition, development, construction, discussing or managing utility agreements, energy-related issues, implementation of clean energy initiatives, financial modeling, large collocation agreements. As a Senior Data Center Strategic Negotiator, you will work with the team to identify locations and sites of interest for self-developed data centers, establish agreements and build relationships with landowners, economic development officials, power grid and energy companies, telecommunications companies and government officials, data center developers, as well as data center providers. Develop metrics for mapping, tracking, and advocating of a broad range of portfolio management issues regarding site/infrastructure development.
5 years of experience in Central and Southern Europe markets. Experience with real estate markets within Central and Southern Europe establishing infrastructure in Central and Southern Europe markets. About the job As Google's products and services grow to serve our billions of users, the Strategic Negotiation team works behind the scenes to secure infrastructure for Google's future. Manage confidential projects with awareness of value and timing, and actively contribute to development of overall project plans.
As a Data Engineering Principal, you will lead the design and execution of data engineering projects, while supporting our clients in executing their data strategies.
You will work closely with the Data Engineering team to ensure the deployment, integration, and scaling of these models within our data infrastructure. Experiment with a variety of algorithms and techniques to enhance model accuracy and performance. Collaborate with the data engineering team to guarantee that clean, well-structured data is available for model training and evaluation. Engage in rigorous testing and validation processes to ensure models are ready for scaling and integration across various business applications. Collaborate with the data engineering team to ensure that the necessary infrastructure and pipelines are in place to support machine learning initiatives. Make data-driven recommendations for model improvements and adapt to changes in data or business needs. Familiarity with AWS cloud services, particularly those relevant to data science and machine learning. Proficiency in data wrangling, feature engineering, and developing scalable machine learning solutions. Knowledge of deep learning techniques and their application to real-world problems.
Optimize ETL processes to ensure seamless data ingestion, processing, and integration across various systems. Ensure the integration of streaming data with batch processing systems for comprehensive data management. ) to build and manage our data infrastructure. Leverage the project management team to coordinate project, requirements, timelines and deliverables, allowing you to concentrate on technical excellence. Drive data governance initiatives, including data cataloguing, lineage tracking, and adherence to security and compliance standards. Familiarity with Databricks and the Delta Lakehouse concept. Familiarity with ML Ops practices and tools, with a desire to expand skills in this area. Knowledge of machine learning pipelines and their integration with data platforms.
Our Compliance Data Strategy aims to encourage data-led decisions to mitigate regulatory risk, improve regulatory and customer outcomes, and present these insights effectively to stakeholders Our goal is to bring more value from a business perspective through data insights, as well as a significant uplift in data analytics in our assurance and control testing, which now needs a dedicated individual to drive this work. Use AI/ML and data science techniques to reduce the need for manual work in the compliance space, including analysis of structured numerical data and application of LLMs and similar tools to unstructured data. An understanding of the importance of team culture, and a demonstrable ability to act as a role model to maintain a culture of curiosity, support and honesty. We've made a promise to each other and every employee; to focus on sustainable impact, to care about each other's wellbeing, to use our diverse expertise to be curious and optimistic and to develop the skills needed for our future.
Working closely with the Programme and Project Managers, you can expect to be involved in the following: · Working with internal and external customers, technical and other teams as required to understand detailed wants and needs, identifying and articulating solution options, rules, benefits, and risks. Ensure full traceability of technical requirements from proposition to high level business requirements, through to detailed requirements with acceptance criteria and beyond. Use different methods and techniques, such as statistical analysis, data visualization, data mining, or machine learning, to identify patterns, trends, correlations, or anomalies in the data. Escalating any conflict at appropriate times · Exposure to project management processes for agile and waterfall projects · Experience with database and model design and segmentation techniques · Data analysis skills to investigate issues and identify impacts (Excel/SQL/data visualisation tools) · Capability to translate business requirements into data-related solutions. Employees can buy up to a maximum of five days' leave.