51 to 75 of 901 Remote/Hybrid SQL Jobs

Analyst (ideally in retail, automotive, manufacturing, or similar sectors) Strong Power BI expertise (2-3+ years) with a flair for impactful visualisation Solid SQL skills with experience handling large, complex datasets Advanced Excel capabilities Experience with Python (desirable, not essential) Highly analytical with a curious, problem-solving mindset Strong ...

Business Analyst (ideally in retail, automotive, manufacturing, or similar sectors) Strong Power BI expertise (2–3+ years) with a flair for impactful visualisation Solid SQL skills with experience handling large, complex datasets Advanced Excel capabilities Experience with Python (desirable, not essential) Highly analytical with a curious, problem-solving mindset Strong ...

development, ideally in a data-focused or product orientated environment. • Strong backend development experience (preferably with Python), particularly with structured and unstructured data (e.g. SQL, NoSQL, data lakes). • Experience of working as part of a team to deliver software products. • Proficient in modern front-end technologies (HTML/ ...

formats, specifically Apache Iceberg , to enable interoperability, schema evolution, and high‐performance analytics across multiple engines. Programming: Expert‐level proficiency in Java , Python and SQL . Big Data & Orchestration: Hands‐on experience with Spark, Kafka, and orchestration tools like Apache Airflow, Dagster, or dbt. Data Modeling: Deep understanding of data ...

data workflows Requirements: Experience in data engineering and pipeline development Strong expertise in Azure (Synapse, Data Lake) Proficiency in Python, PySpark, and T-SQL Knowledge of data warehousing, CDC, and incremental processing Familiarity with modern data architectures (e.g., medallion) Preferred Experience with Azure DevOps/CI-CD Exposure to Microsoft ...

cross-functionally with Product, Finance, and senior stakeholders 🧠 Key experience & skills required: 6+ years experience in analytics engineering/data modelling roles Expert-level SQL and strong experience building scalable data models Strong BI/dashboarding experience (e.g. Looker, Tableau, Power BI) Experience working closely with business stakeholders Strong communication ...

Collaborate with cross-functional teams to deliver data-driven solutions Support data modelling, governance, and quality initiatives What were looking for Experience with Python, SQL, Spark (and ideally Scala) Hands-on delivery of ML solutions in production Exposure to cloud platforms (AWS, Azure, or GCP) Understanding of DevOps, containers ...

related issues in a fast-paced environment Required Skills & Experience Proven track record as a Data Engineer within banking or financial services (essential) Strong SQL and Python (or equivalent) development skills Hands-on experience with modern data platforms (e.g. Snowflake, Databricks, Redshift, BigQuery) Cloud experience (AWS, Azure, or GCP) Solid ...

into clear analytical approaches and actionable insight Communicate findings clearly to a wide range of technical and non-technical stakeholders Your Skills & Experience Strong SQL capability with experience working with large, complex datasets Background in product, commercial or customer analytics within a fast paced environment Experience using BI tools such ...

Strong experience operating as a Senior Analyst in a commercial or marketing focused environment Proven ownership of lifetime value modelling and revenue metrics Solid SQL capability with experience using Python and data visualisation tools such as Power BI or Tableau Comfortable working independently in a fast paced environment with competing ...

production-level coding experience Experience building and deploying data services end-to-end Solid understanding of ETL and data engineering best practices Experience with SQL/NoSQL, APIs, and cloud platforms Familiarity with big data tools and MLOps concepts Strong communication, collaboration, and mentoring skills Main Tech Stack: Python ...

collaboration with Data Engineering What We’re Looking For 5+ years’ experience in data analytics, ideally in D2C, subscription, or health tech Strong SQL skills and experience working with large-scale datasets Proficiency in BI tools (Looker, Tableau, Power BI, or similar) Experience with experimentation and A/B testing ...

data engineering or modern data platform development. Deep hands-on experience with Microsoft Fabric, including Lakehouse, Data Warehouse, OneLake, Pipelines and Data Factory. Strong SQL, Spark/PySpark and data modelling capability across analytical and operational datasets. Proven experience delivering complex end-to-end data platforms in Azure or Fabric ...

ownership of data pipelines and automation of data workflows. Finally have 5 years Strong programming experience at an advanced level in Python, PySpark, and SQL scripting. Benefits Salary: 50,000 - 65,000 per annum 25 day's holiday Company car/Allowance Variable annual bonus based 5-15% Pension Plan ...

ensure project success, participating in discovery and design sessions and translating architecture into solution components like data models and reports. Practical experience with SQL and data warehouses is essential. This role involves Data Governance, Data Quality, MDM, Business Intelligence, Cloud, Big Data, Data Modeling, and Project Management. Travel to client ...

Familiarity with Agentic AI Client delivery experience (for either internal or external customers) Familiarity with data analytics tools or programming languages (such as Python, SQL or R) Familiarity with ethical considerations and best practices in data analytics, AI and data science. People Manager - People management skills, including mentoring, guiding ...

judgement Essential Requirements Technical Skills Advanced proficiency in Python and the data science stack (pandas/polars, scikit-learn, NumPy, matplotlib/plotly) Strong SQL skills ability to design schemas, write complex queries, and manage relational data across large datasets Demonstrated experience integrating LLM APIs (Anthropic, OpenAI, or equivalent ...

financial control principles. Demonstrable experience building or improving data pipelines, data processes, or reporting solutions as part of process transformation and automation. Proficiency in SQL and strong working knowledge of Databricks or similar data engineering platforms. Advanced Excel skills and experience rebuilding file-based processes for efficiency. Effective communication skills ...

software engineering best practices What We’re Looking For Proven hands-on experience with Databricks platform and orchestration Strong skills in Python, PySpark, and SQL, with knowledge of distributed data systems Expertise in developing full lifecycle data pipelines across ingestion, transformation, and serving layers Experience with data lakehouse architecture, schema ...

regional requirements Maintain analytics tools that provide data for use in insight generation Experience you’ll bring as our Data Analyst : Experience in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI) Familiarity with product analytics platforms Ability to translate technical data, regulatory requirements, etc into business insights ...

experience including development experience Undergraduate degree or equivalent combination of training and experience although graduate degree is preferred Experience with Java JavaScript HTML CSS SQL and modern frameworks Familiarity with microservice architecture API design and integration patterns Knowledge of AWS services and cloudbased deployment models Strong understanding of CICD pipelines ...

manipulation tasks. Leverage LLMs and AI-assisted tools to accelerate insight generation, documentation, and development workflows. Key Skills and Experience you must have: Strong SQL and data modelling skills. Hands-on experience with enterprise analytics platforms such as Power BI and Tableau. Experience in implementing CI/CD pipelines ...

Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working ...

anomalies, and enforce standards across complex data pipelines and platforms. Youll have experience in Data Engineering, Data Platform, or SRE-style roles, with strong SQL and Python skills and experience working in modern cloud-based data environments. Hands-on experience with data observability tools such as Grafana, Monte Carlo ...

Candidate The right Data & ML Engineer should have: Experience in data engineering, machine learning or applied AI roles Strong skills in Python and SQL, with exposure to big data or ML frameworks Experience working with cloud platforms such as Azure, AWS or GCP Understanding of CI/CD, MLOps ...