11 open jobs on The Stack list Data warehousing as a key skill. They come from 10 companies in 4 countries, and 11 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Data warehousing in its key skills. We do not guess skills from the job title.
What you'll do: Shaping the architecture of data products for analytics and data science, building reusable data pipelines, and collaborating with data scientists to refine data requirements and ensure data quality and governance.
What they ask for: Expert in batch and near real-time streaming data processing (Kafka, Spark); cloud-based big data platform experience (AWS); proficient in Python and SQL (Redshift/PostgreSQL) plus NoSQL; strong DevOps/CI/CD and infrastructure as code…
What you'll do: Design, build and maintain high-quality, reliable data solutions in the cloud and drive automation. Provide technical leadership to a small squad of engineers and lead in the development of standard data frameworks and policies. Design…
What they ask for: Demonstrable leadership mentality and business acumen; expert in cloud-based data technologies (preferably Azure); strong experience designing end-to-end data solutions and working with ETL tools such as Databricks, SQL, and Python/Spark.
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: You will build and maintain robust data pipelines and models in BigQuery to support internal reporting, machine learning, and financial processes. Additionally, you will optimize data warehouse performance and costs while defining best…
What they ask for: Candidates should have experience with data modeling, ETL projects, and big data technologies. You must be proficient in SQL and comfortable with general data warehousing concepts.
What you'll do: You will be responsible for maintaining and improving product reporting while ensuring data accuracy across internal and external teams. Additionally, you will automate data processes and provide actionable insights to support commercial…
What they ask for: The role requires proficiency in SQL, Python, and Git, along with experience in data warehousing platforms like Databricks or Azure. Candidates should possess strong communication skills, a proactive attitude, and the ability to manage…
What you'll do: You will design and maintain cross-game data marts and AI-powered workflows to support player experience and game growth. Additionally, you will collaborate with analytics teams to build scalable data tools and educate analysts on software…
What they ask for: Candidates must hold a bachelor degree in a quantitative field and possess advanced skills in SQL and Python. Experience in building production-level data pipelines and familiarity with AI/ML workflows is required.
What you'll do: You will design and maintain cross-game data marts and AI-powered pipelines to support player experience and game growth. Additionally, you will collaborate with analysts to optimize SQL queries and develop scalable data tools.
What they ask for: Candidates must hold a bachelor degree in a quantitative field and possess advanced skills in SQL and Python. Experience with production-level data pipelines and familiarity with generative AI tools are also required.
What you'll do: You will design and maintain cross-game data marts and AI-powered pipelines to support analytics and game growth. Additionally, you will collaborate with game teams to build reusable data tools and educate analysts on software engineering…
What they ask for: Candidates must hold a bachelor degree in a quantitative field and possess advanced skills in SQL and Python. Experience with production-level data pipelines using tools like Airflow and Docker is required, along with a collaborative…
What you'll do: You will reconcile data between product engines and accounting systems to identify and investigate discrepancies. Additionally, you will build dashboards and maintain reports to improve the reliability and scalability of reconciliation…
What they ask for: Candidates must hold a mathematical or technical degree from a top university and possess strong SQL skills. You should have a deep understanding of mathematical statistics and the ability to investigate complex financial and technical…
What you'll do: You will lead high-uncertainty research projects to drive product decisions and define the methodology for experimentation and effect estimation across the company. You will collaborate with product teams to design experiments, analyze…
What they ask for: The role requires extensive experience in causal inference, A/B test design, and advanced statistical analysis, alongside strong proficiency in SQL and Python. Candidates must demonstrate the ability to translate vague product questions…
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…
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