26 to 50 of 210 Remote/Hybrid ETL Jobs

architecture, governance and the future direction of analytics. Key Responsibilities Design, build and maintain scalable data solutions using Microsoft Fabric. Develop robust ELT/ETL pipelines and data models to support reporting and analytics. Deliver high-quality Power BI dashboards and semantic models for business users. Champion data governance, data ...

bottlenecks. Key skill and experience SAS 9.4 (DI), SAS Viya 3.x (SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualization using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding ...

data focused components to use for which purpose.Microsoft certified architectDatabricksDesign and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.Ability to Design, Build and deploy AI/ML models: Integrate Machine Learning into data ...

organise, analyse, and interpret large and complex data sets. Strong proficiency in SQL, Python, R or SAS, statistical methods, data modelling, data warehousing and ETL processes. Contribute to the development of data-driven strategies and initiatives to support company growth and success. If you like the sound of the role ...

Factory Working knowledge of Databricks Working knowledge of AWS environments (Redshift, RDS) Solid grounding in database technologies, API architecture, data warehousing principles, and standard ETL/ELT patterns UK-based with full right to work — essential How to Apply If you meet the above criteria and are available ...

practices Skills & Experience * 3+ years' commercial experience in Data Engineering * Strong Java or Python development skills * Experience with Kafka, Flink or Spark * Experience building ETL/ELT or streaming data pipelines * Knowledge of AWS (Azure or GCP also considered) * Experience with Docker, Kubernetes and CI/CD tools * Familiarity with ...

REST APIs , working with JSON payloads, authentication, pagination and basic error handling. Essential Skills Strong SQL fundamentals, including joins, aggregations and subqueries Understanding of ETL/ELT concepts and data pipelines Exposure to Apache Kafka or similar streaming platforms Basic knowledge of AWS services, particularly managed databases Awareness of Docker ...

including database design and optimisation. Strong knowledge of Power BI, with a demonstrated ability to create impactful dashboards and reports. Experience with data modelling, ETL processes, and data warehousing concepts. Excellent analytical skills, with the ability to interpret complex data sets and present insights clearly. Good communication skills, capable ...

APIs , working with JSON payloads, API authentication, pagination and basic error handling. Essential Skills Strong SQL fundamentals, including joins, aggregations and subqueries Understanding of ETL/ELT concepts and data pipelines Exposure to Apache Kafka or similar streaming platforms Basic knowledge of AWS services, especially managed databases Awareness of Docker ...

business teams to deliver reliable data solutions. Participating in code reviews and continuous improvement initiatives. What We're Looking For Experience in data engineering, ETL development or data platform delivery. Strong programming skills in Java or Python. Exposure to modern data technologies such as Kafka, Spark or Flink. Experience working ...

Azure (Data Factory, Synapse), or AWS (Redshift, Glue) and GCP (BigQuery, Dataflow). Advanced SQL skills, including optimisation and performance tuning. Strong experience with ETL/ELT pipelines and data transformation frameworks. Programming proficiency in Python, Scala, or Java for data processing. Deep understanding of data warehousing concepts and best ...

clear documentation across pipelines, schemas and operational processes. Essential Skills Strong SQL skills, including complex joins, aggregations, subqueries and query optimisation Strong understanding of ETL/ELT concepts and data pipeline design Hands-on experience with Apache Kafka or similar streaming platforms Strong knowledge of AWS data services and managed ...

within Azure and/or AWS environments. Advanced experience with PySpark, SparkSQL and large-scale distributed data processing. Strong understanding of modern data architecture, ETL/ELT frameworks and data modelling. Excellent SQL skills and experience working with large-scale datasets. Strong understanding of data governance, security and platform reliability ...

inclusive environment through collaborative leadership, resolving organisational challenges, and mentoring colleagues. What You'll Bring Core Data Engineering Foundation: Practical experience with data modelling, ETL/ELT, and various database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and openness to tech stacks such as SSIS, Airflow ...

Python, R Cloud computing platforms: Azure, AWS, GCP Experience in any aspects of the data analytics lifecycle, for example: Data Strategy Data Manipulation and ETL Data Analysis & Visualization Applying machine learning statistical analysis and other advanced analytics techniques to key business issues faced by our clients that can transform and ...

Python, R Cloud computing platforms: Azure, AWS, GCP Experience in any aspects of the data analytics lifecycle, for example: Data Strategy Data Manipulation and ETL Data Analysis & Visualization Applying machine learning statistical analysis and other advanced analytics techniques to key business issues faced by our clients that can transform and ...

Snowflake, dbt, GitHub, and Airflow in a production environment. Demonstrable experience delivering data engineering or analytics platform programmes. Solid understanding of modern data stacks, ETL pipelines, and cloud‐based data platforms. Experience working within Agile delivery environments. Strong communication skills with the ability to engage engineering teams and senior stakeholders. ...

and non-technical stakeholders to translate business requirements into scalable data capabilities. Required Experience: Proven experience designing and delivering enterprise-scale data pipelines and ETL/ELT solutions. Strong hands-on expertise with Microsoft Fabric, Azure Data Services and cloud-based data platforms. Advanced SQL and data modelling skills. Experience ...

Azure technologies Expertise in Azure Databricks development, including efficient handling of large datasets Strong working knowledge of Azure Data Factory for building complex ETL workflows Experience with performance optimization of data pipelines and distributed processing setups Proficiency in Scala development (hands‐on experience highly desirable) Solid understanding of Azure services ...

supporting event operations across channels. 5+ years in data architecture or related fields. Deep knowledge of modern data architecture, cloud platforms (Azure, AWS, Databricks), ETL/ELT. Experience with metadata management, AI/Machine Learning integration. Strong communication and stakeholder engagement skills. Understanding of information security, privacy, and compliance regulations. ...

supporting event operations across channels. 5+ years in data architecture or related fields. Deep knowledge of modern data architecture, cloud platforms (Azure, AWS, Databricks), ETL/ELT. Experience with metadata management, AI/Machine Learning integration. Strong communication and stakeholder engagement skills. Understanding of information security, privacy, and compliance regulations. ...

Kubernetes and container-based platforms Data Warehousing and Data Lake technologies CI/CD tooling and deployment automation Infrastructure as Code ETL/ELT frameworks API integration and distributed systems Data Governance and Metadata Management What We're Looking For Experience designing enterprise-scale data or integration platforms Strong architecture ...

least one cloud data platform (for example Snowflake, BigQuery, Redshift, Databricks or Azure Synapse) A good understanding of the data lifecycle: ingestion, transformation (ETL or ELT), modelling and getting data into a usable state Able to build and present a working demo or prototype at pace, including with modern ...

grows Must have: Cloud data engineering on AWS – this is non-negotiable People management and team leadership experience Strong SQL and T-SQL ETL/ELT pipelines, SSIS, Matillion or similar Data visualisation Infrastructure as Code awareness, Terraform or similar Stakeholder management Nice to have: Real-time and event-driven ...

data ecosystems, including lakehouse, data warehouse and hybrid architectures Provide technical leadership across data engineering, analytics and AI transformation programmes Design scalable data pipelines, ETL/ELT frameworks and integration patterns Shape architecture decisions across technologies including Microsoft Fabric, Azure Databricks, Azure Synapse Analytics and Azure Data Factory Define data … Microsoft Fabric Azure Databricks Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Strong understanding of modern data engineering concepts including: Data pipelines ETL/ELT frameworks Data ingestion patterns Data processing architectures Lakehouse approaches Experience designing enterprise data models and warehousing solutions Strong understanding of cloud data architecture ...