143 open jobs on The Stack list SQL as a key skill. They come from 66 companies in 22 countries, and 143 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names SQL in its key skills. We do not guess skills from the job title.
What you'll do: Build and maintain Adyen's distributed high-performance payments platform, from design to production. Collaborate across teams and time zones to deliver new functionality that scales and remains reliable. Own code through deployment and…
What they ask for: Proficient in Java, web services, REST APIs and SQL/PostgreSQL; experience building high-throughput, reliable services; strong ownership, communication and ability to work in a global product environment.
What you'll do: Lead the development of analytics strategies across Bauer Media Audio, define KPIs, and build scalable reporting solutions for nine European markets. Translate complex data into actionable insights, build dashboards, and mentor analysts to…
What they ask for: Extensive experience in data analysis or analytics; strong SQL skills; expertise in data visualization tools (preferably Tableau); ability to convert data into business recommendations; experience with audience analytics, segmentation and…
What you'll do: Own content analytics end-to-end, from instrumentation to actionable insights that shape editorial strategy. Build engagement and audience signals, measure core and public reach, and surface high-attention stories to drive editorial…
What they ask for: Senior, hands-on data analyst with proven SQL expertise and experience delivering end-to-end analysis. Proficiency with dbt, cloud data warehouses (BigQuery/Snowflake), modern BI and semantic layers, plus engagement and event analytics…
What you'll do: Partner with product and business teams to perform rigorous analyses, define and maintain metrics, set up tracking and experiments, and build reusable AI-assisted analytics to scale insights. Communicate findings clearly to stakeholders to…
What they ask for: 5+ years as data analyst/scientist in a product-focused role; advanced SQL and data visualization; experience building data models in dbt with BigQuery or Snowflake; strong understanding of statistics and experiment design; knowledge of…
What you'll do: Lead the design, build, and governance of reusable data models and data architectures, and develop complex data pipelines (ETL/ELT). Design and optimize data lakes and data warehouses and operationalize analytics into production-ready…
What they ask for: Bachelor's or Master's degree in a technical field such as Data Science, Computer Science or Engineering; at least 5 years of experience as a Data Engineer or senior data/engineering role in a consulting or advisory capacity. Fluency in…
What you'll do: Build, validate and monitor credit scorecards and decisioning rules using bureau, Open Banking and internal data. Design and test credit strategies, pricing tiers and limits, balancing risk, volume and margin; work with engineers to deploy…
What they ask for: 2-5 years in decision science or data science within consumer lending or regulated financial services; experience developing credit scorecards or risk models (logistic regression or gradient boosting); strong SQL skills; understanding of…
What you'll do: Design, develop, test, and maintain backend services in Java and Kotlin using Spring Boot on AWS; build and maintain RESTful APIs for high-volume payments; design database schemas and oversee event-driven architectures with Kafka, while…
What they ask for: Proven experience building backend services in Java/Kotlin with Spring Boot; familiarity with AWS, PostgreSQL, SQL, and Kafka; strong focus on security and scalable, reliable systems; ability to work in a fast-paced, cross-functional…
What you'll do: Build, deploy, and maintain AI/ML solutions for client projects; design data pipelines and MLOps, and collaborate with clients and internal teams to translate requirements into scalable components; ensure governance, monitoring, and…
What they ask for: Proficiency in Python and C#, hands-on experience with cloud AI services (Azure ML, AWS SageMaker, GCP Vertex AI), and ML libraries (scikit-learn, TensorFlow, PyTorch). Knowledge of model evaluation, production deployment, and securing…
What you'll do: Design, build and maintain scalable end-to-end data pipelines and transformation layers from ingestion to data products. Define and drive technical quality standards (testing, data modeling, CI/CD, data quality) and monitor/optimize…
What they ask for: Extensive professional data engineering experience with strong SQL and Python skills, and hands-on experience with cloud data warehouses (BigQuery, Snowflake, or Redshift) and transformation tools like dbt. Practical experience…
What you'll do: Design, build, enhance and maintain modern business applications using a mix of low-code, pro-code and cloud-native technologies, while ensuring security and quality standards. Collaborate with cross-functional teams to automate business…
What they ask for: Bachelor’s or Master’s in Computer Science, Information Technology, or related field; minimum 3 years of experience in designing, developing and deploying business applications. Hands-on experience with application development, workflow…
What you'll do: Design, develop, and optimise scalable data pipelines using Azure Databricks, PySpark, Spark SQL and Delta Lake. Build robust ETL/ELT solutions and data ingestion frameworks supporting batch and streaming workloads. Collaborate with Data…
What they ask for: Proven experience with Azure Databricks, Spark, PySpark, Spark SQL; strong Python and SQL skills. Experience with Azure Data Lake Storage Gen2 and one of Azure Data Factory or Microsoft Fabric Data Factory. Must be eligible to obtain and…
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: 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: Own business-critical projects from start to finish within one domain, supported by mentorship and learning sessions; apply data-driven analysis and build practical solutions using Python/SQL, collaborating with teams across the…
What they ask for: Are about to graduate (or recently graduated) with a Masters in a quantitative field; shows experience in fast-paced, high-performance environments and an entrepreneurial mindset. Has hands-on knowledge of PowerPoint, Python, SQL, and…
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: Design, build and maintain cloud-based data integration solutions using Microsoft Fabric and Azure, including lakehouses, warehouses, dataflows and pipelines. Lead discovery workshops, engage with clients to gather requirements, implement…
What they ask for: Commercial experience in data engineering and integration with strong SQL and Python skills and hands-on experience with Microsoft Fabric and Azure data services. Practical knowledge of ETL/ELT design, API and secure SFTP integrations…
What you'll do: Design and implement scalable ETL/ELT data pipelines and Lakehouse architectures on Databricks, integrating batch and streaming sources. Optimize data models (Delta Lake, medallion architecture), enable governed data products, and…
What they ask for: Minimum 5–8 years in data engineering or data architecture with at least 3+ years on Databricks, a university degree, strong SQL and Python skills, and hands-on experience with cloud platforms (AWS/Azure/GCP). Familiarity with Databricks…
What you'll do: Apply data science, machine learning and AI techniques to transform complex datasets into actionable insights and predictive models; develop, evaluate and operationalise analytical models and AI-driven solutions; collaborate with…
What they ask for: Experience applying data science, AI or advanced analytics to real-world problems, strong analytical and communication skills, and ability to work in multidisciplinary teams. Candidates must be able to obtain and maintain (or already hold)…
What you'll do: You will build and maintain data pipelines, models, and validations to transform raw data into trusted information for the company. Additionally, you will optimize large-scale data processing jobs and automate workflows to support…
What they ask for: The role requires hands-on experience with data pipelines, Python, SQL, and workflow schedulers like Airflow. Candidates should possess strong communication skills, a performance-oriented mindset, and an interest in leveraging AI tools for…
What you'll do: Design, build, and maintain scalable data pipelines, warehouse models, and analytics solutions; develop natural language interfaces to data using GenAI/LLM techniques; ensure data quality, observability and production support through…
What they ask for: Bachelor's degree or equivalent and 8+ years building high-performance, large-scale distributed systems with emphasis on streaming and data pipelines. Strong expertise in SQL, data modeling/warehousing…
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: Design and build backend systems and APIs to support real-time, business-critical accounting logic. Manage the full feature lifecycle including architecture, CI/CD, testing, monitoring, and integration with third-party tools.
What they ask for: Requires 5+ years of backend engineering experience with strong proficiency in database design and complex business logic. Candidates should have experience deploying on AWS and a strong preference for Python and modern web frameworks.
What you'll do: Design, build and operate end-to-end data pipelines and data products (including monitoring, alerting and data quality controls), collaborate with front-office stakeholders to translate requirements, and develop real-time visualisations…
What they ask for: Essential: strong Python and SQL skills, experience with orchestration tools (Airflow/Dagster/Prefect), database schema/ORM design (SQLAlchemy), Python dashboarding (Plotly Dash/Streamlit), and CI/CD/DevOps (Azure DevOps or similar).…
What you'll do: You will take end-to-end ownership of features for the checkout process and post-booking experience, from refinement to production. Additionally, you will design scalable applications and collaborate with stakeholders to define…
What they ask for: Candidates must have at least 5 years of professional software engineering experience with deep expertise in PHP and Symfony. Proficiency in building scalable, distributed systems and experience with relational databases and API design are…
What you'll do: You will build and scale real-time ledger systems to track FX risk and liquidity using stream-processing technologies. This involves designing data-quality controls and ensuring the resilience and observability of high-volume event-driven…
What they ask for: The role requires solid software engineering fundamentals and experience with Java or similar object-oriented languages. Candidates should have a strong understanding of databases and a willingness to solve complex distributed-systems…
What you'll do: You will generate actionable insights through data analysis and design end-to-end A/B tests to support product decisions. Additionally, you will collaborate with cross-functional teams to define metrics and implement tracking to optimize…
What they ask for: The role requires 3+ years of experience in analytics with strong proficiency in SQL and Python. Candidates must have a deep understanding of A/B testing, statistics, and the ability to connect data insights with business goals.
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 build and ship end-to-end AI services, including data pipelines, model development, and asynchronous REST APIs. Additionally, you will maintain training pipelines, implement retrieval systems, and mentor junior engineers to ensure…
What they ask for: Candidates must hold a bachelor's degree in a relevant field and possess at least 3 years of backend development experience with machine learning applications. Strong proficiency in Python, FastAPI, and containerized environments like…
What you'll do: You will analyze player behavior and design A/B tests to improve game performance and growth. Additionally, you will collaborate with product teams to turn analytical findings into actionable recommendations.
What they ask for: Candidates must have a strong quantitative background in mathematics, statistics, and A/B testing. Proficiency in Python and SQL is required, along with professional proficiency in both English and Russian.
What you'll do: You will build and evolve the Rules Platform by developing reliable, scalable backend services and reusable internal libraries. You will also drive technical architecture decisions and collaborate with cross-functional teams to improve…
What they ask for: Candidates must have strong hands-on experience with JVM-based languages like Java or Kotlin and expertise in distributed systems. Experience with Kafka, SQL databases, and a strong product mindset for building internal tools are also…
What you'll do: Design, build, and maintain scalable cloud-native infrastructure to support AI applications and data products using Azure and AWS. Collaborate with cross-functional teams to automate provisioning, ensure operational resilience, and…
What they ask for: Requires proven experience in cloud-native infrastructure, infrastructure-as-code, and CI/CD pipelines with expertise in Azure and AWS. Candidates must possess strong programming skills in Python and SQL, along with a proactive mindset for…
What you'll do: Design, build, and maintain scalable cloud-native infrastructure to support AI applications, data products, and intelligent agents. Collaborate with cross-functional teams to automate provisioning, ensure operational resilience, and…
What they ask for: Requires proven experience in cloud-native infrastructure, specifically with Microsoft Azure and AWS, along with strong proficiency in Python and SQL. Candidates must have solid knowledge of IaC, CI/CD pipelines, and cloud security best…
What you'll do: Design, build, and maintain scalable cloud-native infrastructure to support AI applications, data products, and intelligent agents. Collaborate with cross-functional teams to automate provisioning, ensure operational resilience, and…
What they ask for: Requires proven hands-on experience in cloud-native infrastructure, specifically with Microsoft Azure and AWS. Candidates must possess strong programming skills in Python and SQL, along with expertise in IaC, CI/CD, and container…
What you'll do: Design, build, and maintain scalable cloud-native infrastructure to support AI applications, intelligent agents, and data products. Collaborate with international teams to implement automated deployment workflows, observability frameworks…
What they ask for: Requires proven experience in cloud-native infrastructure, specifically with Microsoft Azure and AWS, along with strong proficiency in Python and SQL. Candidates must have solid knowledge of infrastructure-as-code, CI/CD pipelines, and…
What you'll do: Design, build, and maintain scalable cloud-native infrastructure to support AI applications, data products, and intelligent agents. Collaborate with cross-functional teams to automate deployment workflows, ensure operational resilience…
What they ask for: Requires proven hands-on experience in cloud-native infrastructure, specifically with Microsoft Azure and AWS. Candidates must possess strong programming skills in Python and SQL, along with expertise in IaC, CI/CD, and container…
What you'll do: Design, build, and maintain scalable cloud-native infrastructure to support AI applications, data products, and intelligent agents. Collaborate with cross-functional teams to implement automation, security standards, and reliable…
What they ask for: Requires proven experience in cloud-native infrastructure, specifically with Microsoft Azure and AWS, alongside strong programming skills in Python and SQL. Candidates must possess expertise in infrastructure as code, CI/CD pipelines, and…
What you'll do: Design, build, and maintain scalable cloud-native infrastructure to support AI applications and data products using Azure and AWS. Collaborate with cross-functional teams to automate deployment workflows, ensure system security, and…
What they ask for: Requires proven experience in cloud-native infrastructure, infrastructure-as-code, and CI/CD pipelines with strong proficiency in Python and SQL. Candidates must possess solid knowledge of cloud architecture, security best practices, and…
What you'll do: Design, build, and maintain scalable cloud-native infrastructure to support AI applications, data products, and intelligent agents. Collaborate with cross-functional teams to implement automated deployment workflows, security standards…
What they ask for: Requires proven experience in cloud-native infrastructure, specifically with Microsoft Azure and AWS, alongside strong programming skills in Python and SQL. Candidates must possess expertise in IaC, CI/CD pipelines, container technologies…
What you'll do: Design, build, and maintain scalable cloud-native infrastructure to support AI applications and data products using Azure and AWS. Collaborate with international teams to automate deployment workflows, ensure operational resilience, and…
What they ask for: Requires proven experience in cloud-native infrastructure, infrastructure-as-code, and CI/CD pipelines with strong proficiency in Python and SQL. Candidates should possess a solid understanding of cloud architecture, security best…
What you'll do: Design, build, and maintain scalable cloud-native infrastructure to support AI applications, data products, and intelligent agents. Collaborate with cross-functional teams to automate deployment workflows, ensure operational resilience…
What they ask for: Requires proven experience in cloud-native infrastructure, specifically with Microsoft Azure and AWS, alongside strong proficiency in Python and SQL. Candidates must have solid knowledge of IaC, CI/CD pipelines, containerization, and cloud…
What you'll do: Design, build, and maintain scalable cloud-native infrastructure to support AI applications and data products using Azure and AWS. Collaborate with cross-functional teams to automate deployment workflows, ensure operational resilience, and…
What they ask for: Requires proven experience in cloud-native infrastructure, infrastructure-as-code, and CI/CD pipelines with strong proficiency in Python and SQL. Candidates should possess a proactive mindset, familiarity with cloud security best…
What you'll do: Design, build, and maintain scalable cloud-native infrastructure to support AI applications and data products using Azure and AWS. Collaborate with cross-functional teams to automate deployment workflows, ensure operational resilience, and…
What they ask for: Requires proven experience in cloud-native infrastructure, infrastructure-as-code, and CI/CD pipelines with strong proficiency in Python and SQL. Candidates should possess a solid understanding of cloud architecture, security best…
What you'll do: Design, build, and maintain scalable cloud-native infrastructure to support AI applications and data products using Azure and AWS. Collaborate with international teams to automate provisioning, ensure operational resilience, and implement…
What they ask for: Requires proven experience in cloud-native infrastructure, infrastructure-as-code, and CI/CD pipelines with strong proficiency in Python and SQL. Candidates should possess a solid understanding of cloud architecture, security best…
What you'll do: You will collaborate with subject matter experts to define analytical approaches and deliver data science and AI solutions for diverse client projects. This involves preparing and analyzing data, developing models, and presenting findings…
What they ask for: Candidates should have hands-on experience in Python, SQL, and statistical modeling, along with a strong understanding of machine learning and large language models. A relevant degree or equivalent practical experience in a quantitative…
What you'll do: You will develop full-stack geospatial services and data pipelines to support AI driver training and navigation. This involves collaborating with internal teams to build scalable infrastructure and maintaining services on Azure and…
What they ask for: You should be a strong Python engineer with experience in large-scale data pipelines using Spark or PySpark. Proficiency in cloud infrastructure, container orchestration, and SQL is required, with experience in geospatial data processing…
What you'll do: The Data Analyst will support product teams by designing experiments, analyzing performance metrics, and driving data-driven decision-making. They will also build dashboards, educate teams on data literacy, and contribute to the…
What they ask for: Candidates should have 3+ years of experience in product or analytics roles with strong proficiency in SQL and Python or R. A solid understanding of statistical methods, A/B testing, and data visualization tools is essential for success in…
What you'll do: You will enable data-driven decision-making within the Investments team by analyzing product initiatives and measuring their impact on business outcomes. Additionally, you will build self-serve data platforms and dashboards while fostering…
What they ask for: The role requires 3+ years of experience in product or analytics, with at least 1 year specifically in the investments or wealth domain. Candidates must possess strong proficiency in SQL, Python/R, and statistical methods, including causal…
What you'll do: You will manage the end-to-end lifecycle of data science services, from conceptualization to production, while ensuring high performance and reliability. You will also collaborate with cross-functional teams to develop innovative ML and…
What they ask for: You must have extensive experience with the data science toolbox, including Python, SQL, and cloud infrastructure like GCP, Kubernetes, and Kafka. Additionally, you should possess specific expertise in either ML classifiers, NLP, AdTech…
What you'll do: Work with clients and subject matter experts to define analytical problems, prepare and analyse data, and develop and evaluate statistical, machine learning, forecasting, or language-model solutions. Present findings and limitations…
What they ask for: Candidates need hands-on Python and SQL experience, a sound grounding in statistics and machine learning, and practical familiarity with using large language models responsibly. They should be able to take ambiguous questions through to…
What you'll do: You will develop user-facing interfaces and backend services to support research workflows, including data modeling and API development. Additionally, you will collaborate with researchers to maintain performance, investigate bugs, and…
What they ask for: Candidates should have at least 3 years of experience in full-stack application development, with proficiency in TypeScript, React, Python, and SQL. Experience with PostgreSQL, AWS, and research-oriented software is highly valued.
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