27 open jobs on The Stack list Data governance as a key skill. They come from 17 companies in 12 countries, and 27 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Data governance in its key skills. We do not guess skills from the job title.
What you'll do: Lead and implement the technical roadmap for client data platforms, ensuring architecture cohesion across data ingestion, processing, and analytics. Manage end-to-end data pipelines and collaborate with data scientists to deliver data…
What they ask for: 5-7 years in a similar data engineering/lead role with hands-on experience building production ETL/ELT pipelines on Azure (Data Factory, Databricks, Synapse). Strong SQL, data warehousing principles, cloud architecture, and experience with…
What you'll do: Develop, maintain and enhance Power BI dashboards, translating stakeholder requirements into actionable visualisations. Analyse data from multiple sources to identify trends, opportunities and risks, enabling data-driven decision making…
What they ask for: Minimum 2 years in a Data/BI analytics role; strong Power BI development including data modelling, DAX and Power Query; solid SQL skills and experience with relational databases; familiarity with ETL and data warehousing; excellent…
What you'll do: Lead the data architecture strategy across complex SAP S/4HANA transformation programmes to establish scalable and AI-ready data foundations. Partner with enterprise leaders to design enterprise data solutions and ensure data is treated as…
What they ask for: Requires extensive experience leading enterprise data architecture across multiple SAP S/4HANA transformation programmes. Candidates must possess deep expertise in SAP data portfolios and the ability to engage executive stakeholders…
What you'll do: Lead the design and delivery of a multi-quarter storage platform program, building production services and infrastructure for petabyte- to exabyte-scale data across regions and clouds. Improve storage performance, security, governance…
What they ask for: Candidates should have Staff Engineer-level experience leading complex infrastructure programs across teams and owning petabyte-scale object storage, including performance, lifecycle, governance, and cost outcomes. Strong hands-on…
What you'll do: The role involves leading the end-to-end development of Power BI reporting solutions and dashboards to support operational and strategic decision-making. You will also establish reporting standards, provide user support, and ensure data…
What they ask for: Candidates should have solid experience in data manipulation, modeling, and Power BI visualization, along with the ability to lead workshops and engage with stakeholders. Strong technical expertise in data analysis and a commitment to best…
What you'll do: You will design, develop, and deploy enterprise-scale data platforms using the Microsoft Fabric ecosystem to support analytics and AI initiatives. This involves managing end-to-end data engineering workstreams, from ingestion and…
What they ask for: Candidates must have 6+ years of experience in data engineering with a strong focus on Azure and Microsoft Fabric implementations. Proficiency in SQL, Python, PySpark, and modern data architecture patterns like Medallion and Delta Lake is…
What you'll do: Design, develop, and optimize analytical data models and machine learning workflows to support business intelligence and predictive analytics. Collaborate with stakeholders to translate complex data findings into actionable business…
What they ask for: Requires a university degree in a quantitative field and at least 3 years of experience in data science or BI, specifically within the FX industry. Candidates must demonstrate proficiency in SQL, Python, and Power BI, along with strong…
What you'll do: You will define and own the strategic roadmap for an internal AI platform to operationalize AI capabilities across the organization. You will lead cross-functional teams to integrate AI solutions while ensuring compliance, security, and…
What they ask for: The role requires proven experience as a Product Manager for backend or AI-powered products and a strong understanding of modern AI concepts like LLMs and agent architectures. Candidates must possess excellent analytical skills and the…
What you'll do: You will define and own the strategic roadmap for an internal AI platform to operationalize AI capabilities across the organization. You will lead a cross-functional team to integrate AI solutions while ensuring compliance, security, and…
What they ask for: The role requires proven experience as a Product Manager with a strong understanding of modern AI concepts like LLMs and agent architectures. You must possess excellent analytical skills and the ability to bridge the gap between technical…
What you'll do: You will design, build, and maintain data pipelines to integrate and reconcile information across a large infrastructure portfolio. Additionally, you will develop data models, dashboards, and analytical tools to provide actionable decision…
What they ask for: Candidates must hold a university degree in a relevant field and possess at least three years of experience in data integration and engineering. Proficiency in SQL, analytical languages, and experience in building business intelligence…
What you'll do: You will design, build, and maintain data pipelines to integrate and reconcile information across a large infrastructure portfolio. Additionally, you will develop data models, dashboards, and decision-support tools to replace manual…
What they ask for: Candidates must hold a university degree in a relevant field and possess at least three years of experience in data integration and engineering. Proficiency in SQL, analytical languages, and business intelligence product development is…
What you'll do: The Expert Data & AI Platform Engineer will design, build, and maintain scalable data and AI infrastructure to support the company's digital transformation. You will collaborate across departments to implement innovative solutions that…
What they ask for: The ideal candidate possesses extensive experience in data and AI platform engineering with a strong background in cloud technologies. You must be a proactive problem-solver capable of working in a diverse, inclusive team environment to…
What you'll do: You will lead the technical direction and implementation of scalable data ingestion and processing pipelines for autonomous vehicle data. This involves unifying disparate data sources into structured formats to support machine learning…
What they ask for: Candidates must have 8+ years of software engineering experience with a focus on complex data pipelines and at least 3 years in a technical leadership role. A bachelor's degree in a technical discipline is required, along with expertise in…
What you'll do: Design scalable and secure AI architectures for insurance transformation programmes while leading cross-functional teams. Advise clients on AI adoption strategies and translate complex business challenges into practical technical solutions.
What they ask for: Requires proven experience in enterprise AI solution design within consulting environments and deep knowledge of the insurance sector. Candidates must possess hands-on expertise in LLMs, RAG, and cloud platforms alongside strong…
What you'll do: The post holder will design and maintain a robust, high-quality database for livestock data derived from low and middle-income countries. They are responsible for ensuring that all data is clean, harmonized, well-described, and governed…
What they ask for: The role requires a highly organized and rigorous individual with prior experience working with highly regulated, complex data in the private sector. Strong attention to detail and the ability to build secure, trusted data systems are…
What you'll do: You will own the product roadmap for trivago's A/B testing infrastructure and analytics intelligence layer to drive company-wide experimentation. You will lead the AI transformation agenda to enable proactive decision support and build a…
What they ask for: Candidates must have 5+ years of product management experience with at least 2 years specifically in A/B testing or analytics infrastructure. A solid grasp of statistical foundations and experience building platforms for both technical and…
What you'll do: You will act as a technical advisor to guide large UK enterprises through the deployment of Claude into their operations and products. This involves partnering with account executives to manage the full sales cycle, from technical…
What they ask for: Candidates should have 6+ years of experience in software engineering or solutions architecture with a strong background in pre-sales and value-based selling. You must possess deep technical expertise in LLM-powered applications and the…
What you'll do: The BI Data Engineer will design and maintain enterprise data warehouses and complex business intelligence solutions including data lakes and lakehouses. They are responsible for implementing ETL/ELT pipelines, ensuring data quality, and…
What they ask for: Candidates must have extensive knowledge of enterprise data warehouse design, dimensional modeling, and SQL. Proficiency in BI reporting tools, cloud architectures, and data governance practices is required, along with C1 level English…
What you'll do: You will own and evolve core dbt services, maintaining CI/CD infrastructure and driving performance improvements. Additionally, you will act as an engineering interface for the analytics community to improve data quality, governance, and…
What they ask for: The role requires strong proficiency in Python and SQL, with a proven track record of managing dbt at scale. You must possess excellent problem-solving skills and a community-oriented mindset to influence and support data practitioners.
What you'll do: You will own and evolve core dbt services, maintaining CI/CD infrastructure and driving performance improvements. Additionally, you will act as an engineering interface for the analytics community to improve data quality, governance, and…
What they ask for: The ideal candidate has strong Python and SQL skills with extensive experience managing dbt at scale. You should have a proven track record of improving data reliability and productivity while effectively influencing cross-functional teams.
What you'll do: You will design, build, and maintain data pipelines and models to integrate information across a large infrastructure portfolio. Additionally, you will create dashboards and analytical tools to provide decision support for programme…
What they ask for: Candidates must have a university degree in a relevant field and at least three years of experience in data integration and engineering. Proficiency in SQL, analytical languages, and experience in building business intelligence products…
What you'll do: You will design, build, and maintain data pipelines to integrate and reconcile information from various sources across the infrastructure portfolio. Additionally, you will develop dashboards, metrics, and data models to provide actionable…
What they ask for: Candidates must hold a university degree in a relevant field such as data science, computer science, or engineering. You are required to have at least three years of experience in data integration and engineering, along with hands-on…
What you'll do: Define, design, and govern enterprise-grade data architectures while leading the development of cloud-based data platforms. Act as a trusted technical partner to clients to shape data strategy and ensure architectural consistency across…
What they ask for: Requires extensive experience in defining large-scale data architectures and deep expertise in cloud-native platforms like Databricks and AWS. Candidates must possess strong knowledge of data modelling methodologies and a commitment to…
What you'll do: The incumbent will lead the migration of UNICEF's data warehouse from legacy platforms to a modern lakehouse architecture using Databricks. Key tasks include architecture design, data mapping, transformation development, and implementing…
What they ask for: Candidates must hold an advanced university degree in a relevant field or a first-level degree with two additional years of experience. A minimum of 5 years of professional experience in ICT, Databricks, and data analytics is required.
What you'll do: Lead and grow an engineering team focused on building investigation, review, and enforcement tooling for AI safety. Define the vision and roadmap for the review platform while driving automation strategies to scale human-in-the-loop…
What they ask for: Requires extensive experience in software engineering management and a strong technical background in full-stack or platform engineering. Candidates must demonstrate the ability to work cross-functionally and possess a deep commitment to…
What you'll do: The Data Engineer will develop and maintain the corporate data warehouse using cloud technologies and best practices. They will also build EL/ELT/ETL pipelines and ensure data quality and governance across internal and external systems.
What they ask for: Candidates must have at least 3 years of experience in data engineering with strong proficiency in Python, SQL, and cloud-based data warehousing. Familiarity with modern data stacks like Airflow, dbt, and Google Cloud Platform is essential.
What you'll do: The Senior Product Security Engineer will lead the product security strategy and mentor engineering teams to integrate secure practices into the development lifecycle. This role involves safeguarding sensitive data, performing threat…
What they ask for: Candidates must have extensive experience in software engineering, threat modeling, and security testing, particularly with Python or Go. A deep understanding of cloud, web, and mobile security, along with expertise in AI-specific security…
