576 to 600 of 4,122 Remote/Hybrid SQL Jobs

written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based … domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform ...

written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based … domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform ...

written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based … domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform ...

written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based … domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform ...

written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based … domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform ...

written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based … domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform ...

written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based … domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform ...

written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based … domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform ...

written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based … domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform ...

written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based … domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform ...

written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based … domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform ...

written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based … domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform ...

technical expertise in business intelligence tools, the design and development of data analytics solutions and reports, and querying databases with SQL. Solid hands-on SQL skills - writing and optimising queries, joins and aggregations against large datasets. Prior experience working on projects related to data management and/or business intelligence. … understanding of the gaming and sports betting industry is a strong advantage. Experience working with Amazon Redshift, Amazon Athena and/or Microsoft SQL Server is a benefit. OUR OFFER: A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social ...

patterns. Infrastructure as Code: Terraform experience required; Terragrunt a plus. Comfortable owning modules across environments, not just consuming them. Snowflake & Warehouse Engineering: Strong SQL for Snowflake, including Snowpipe, Tasks and Snowpark. Dbt : Proven experience in building well tested SQL and python models in dbt. CI/CD & Data Security: Experience ...

Requirements: Significant experience building and supporting scalable, production-grade data platforms Strong hands-on expertise with Databricks, Apache Spark, Delta Lake, Python and SQL Good understanding of cloud-based data engineering, ideally within Microsoft Azure environments Experience with Infrastructure as Code tools such as Terraform, Bicep or similar Understanding ...

Requirements: Significant experience building and supporting scalable, production-grade data platforms Strong hands-on expertise with Databricks, Apache Spark, Delta Lake, Python and SQL Good understanding of cloud-based data engineering, ideally within Microsoft Azure environments Experience with Infrastructure as Code tools such as Terraform, Bicep or similar Understanding ...

consumption Use GitHub and CI/CD pipelines, incorporating AI-assisted workflows where they add value Performance & Architecture Optimise dbt models and SQL queries for performance and maintainability Work with Snowflake on top of a data lake architecture Contribute to evolving our semantic/BI layer toward AI/… driven self‐service What we're looking for Required Skills & Experience Strong experience building and optimising complex SQL (joins, window functions, optimisation) Strong grasp of data modelling and warehouse design (Kimball-style) Production dbt experience, including testing and documentation Hands‐on experience using AI coding tools (e.g. Copilot, Cursor, Claude ...

process. Stay updated on the latest developments in Power BI and related technologies to continuously improve our reporting and dashboard capabilities. Write and optimise SQL queries to extract, transform, and prepare data from our data warehouse for reporting. Carry out data analysis on large, complex datasets to validate data quality … ability to work effectively in a cross functional team environment. Experience gained in a product organisation or a consulting environment is highly valued. Strong SQL skills for querying, transforming and preparing data from large datasets. Knowledge of Azure services and cloud computing principles is desirable. Comfortable using AI tools ...

trust. Strong warehouse architecture experience, including layered models from raw through to staged and curated data, plus a governed semantic layer. Strong SQL and experience with dbt or an equivalent transformation and modelling framework. Sound judgement about which logic belongs in the warehouse, BI layer or application. Experience designing data … equivalent transformation and modelling framework. A governed semantic or BI layer, such as dbt Semantic Layer, LookML, ThoughtSpot or a comparable platform. Deep SQL and Python for data pipelines and supporting automation. Git, CI/CD, environment parity, automated testing and observability for analytics as software. Multi-tenant row-level ...

related field* Experience: 1 to 4 years of professional experience in data analysis, logistics, or supply chain planning.* Technical Proficiency: Advanced skills in Excel, SQL, and business intelligence/visualization tools (e.g., Tableau, Power BI).* System Knowledge: Familiarity with ERP software (e.g., SAP, Oracle) and inventory management systems.* Analytical ...

algorithms, data structures, and software design principles. Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes). Familiarity with databases (SQL, NoSQL) and data processing tools (Pandas, NumPy). Soft Skills Excellent problem-solving skills. Strong communication abilities. Capability to work collaboratively in a team environment. ...

improvement using Power BI and Microsoft technologies Troubleshoot reporting issues and support users with data-related queries Work with multiple data sources including Excel, SQL databases, APIs, and business systems Ensure reporting remains accurate, reliable, and aligned with business objectives Contribute to wider data and reporting projects as the organisation ...

degree in mathematics, science, engineering or a related discipline or through the equivalent experience. Experience of applying analysis skills to real-world problems. Python, SQL, Power BI, Microsoft Excel. An inquisitive mind and an ability to quickly understand complex information and apply analytical thinking and problem-solving skills. Strong data ...

systems. We are looking for an experienced developer or analyst with a strong background in software development, integrations or web applications. Experience with APIs, SQL and a modern programming language such as C#/.NET, Python or JavaScript/TypeScript is essential. Experience with healthcare systems, Workday, electronic patient records ...

ForProven hands-on experience with the Databricks platform, including orchestration and enterprise-scale Azure data engineering solutions. Strong technical skills in Python, PySpark, and SQL, with experience working with distributed data processing frameworks. Expertise delivering end-to-end data pipelines across ingestion, transformation, and serving layers within modern Data Lakehouse ...