51 to 75 of 219 Remote/Hybrid ETL Jobs

Advanced DAX, Tabular Editor, DAX Studio, Measure Killer Data Modelling & Architecture: Semantic design, Star Schemas, Semantic models Databases & Platforms: Snowflake, Azure Databricks Data Engineering & ETL: ETL processes, DBT, IBM Data Manager DevOps & Governance: GitHub, Version control, CI/CD, License management, Capacity optimisation Background in commodities or energy trading environments ...

/version control Understanding of Cloud Data Warehouse concepts Knowledge of SOAP/REST APIs, JSON, YAML Basic Python for API data retrieval and ETL tasks Logical problem-solving skills Ability to work independently and collaboratively Experience with dbt, Snowflake, Fivetran, AWS S3/Lambda, or CI/CD pipelines ...

data services such as Glue, Lambda, S3, Redshift, EMR, Athena and Step Functions • Strong Python and SQL development capability • Proven experience designing and building ETL or ELT pipelines in cloud environments • Experience working with large, complex datasets, both structured and unstructured • Strong understanding of data modelling, optimisation and performance tuning ...

business stakeholders to define data requirements Optimize data structures for performance, scalability, and cost-efficiency Build and maintain data pipelines and transformations (ELT/ETL) Ensure data quality, integrity, and governance standards are met Document data models, definitions, and data flows Skills/Experience An experienced Data Modeller/Data ...

will need: • Strong commercial experience with Power BI, including dashboarding and report development. • Strong data modelling capability, including DAX. • Strong SQL skills. • Experience with ETL processes or data pipelines. • Experience with the Microsoft Power Platform, including Power Automate or Power Apps. • Ability to work end to end across ...

operating within retail banking or financial services environments Deep understanding of data warehousing principles and modelling techniques Advanced SQL expertise and practical experience with ETL/ELT processes Experience working within AWS cloud environments A track record of delivering successful Snowflake migration programmes Confidence engaging with business users and translating ...

Databricks , Airflow , dbt and Kafka within AWS . Experience with modern data stacks is important, along with a solid understanding of data warehousing concepts, ETL/ELT processing , dimensional modelling and both batch and real-time ingestion patterns. Given the scale they operate at, reliability and performance are critical . ...

governed, high-quality data products that teams across Sales, Network, Customer Experience, Finance and Operations can trust. Responsibilities Build, optimise and operate ELT/ETL pipelines into our data platform using SQL and Python (PySpark), with a focus on reliability, performance and maintainability. Develop and maintain core data models (curated ...

and incident response. Strong security mindset: application security best practices and experience mitigating vulnerabilities, secure coding techniques. Experience designing and building Data Pipelines/ETL systems. Desirable Working knowledge of JavaScript/TypeScript frontends and interactions with them. Experience of working in ISO27001 Information Security Accredited environment. Working knowledge ...

support Pragmatic approach to balancing technical delivery with business needs Desirable Python experience for infrastructure automation and tooling Familiarity with data pipeline infrastructure (supporting ETL workloads, data warehousing) Experience with data governance and compliance requirements Cloud cost and resource utilisation optimisation Experience migrating from monolithic to microservice architectures What ...

reliability and operation of the data warehouse Profile Essential criteria: Proven experience in managing data warehouses and data integration projects. Extensive experience designing ETL/ELT data pipelines Strong understanding of cloud-based data architectures. Experience with agile project management and system integration. Excellent leadership and team management skills - including ...

bring the following: Advanced expertise in Microsoft Power BI, including DAX, Power Query (M), data modelling, and report development and publishing. Strong knowledge of ETL processes, data transformation techniques, and database structures, including tables, schemas, and relational models. Excellent analytical and numerical skills, with the ability to interpret complex datasets ...

Week (EoW) and End of Month (EoM) Reports. Champion the transition of these reports from manual Excel processes into automated ETL pipelines and BI dashboards. Data Automation and Architecture: Automate manual reporting processes, optimising both back-end data organisation and front-end accessibility for end-users. Data Governance & Quality: Champion ...

across multiple industries. Access professional development, including technical courses, certifications, mentoring, and coaching. Tech stack: AWS cloud (EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB) for ETL, data lake/warehouse design, and data movement. Programming: Java, Python, Scala, Spark, SQL. Experience integrating and processing large-scale structured and unstructured datasets from ...

across multiple industries. Access professional development, including technical courses, certifications, mentoring, and coaching. Tech stack: AWS cloud (EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB) for ETL, data lake/warehouse design, and data movement. Programming: Java, Python, Scala, Spark, SQL. Experience integrating and processing large-scale structured and unstructured datasets from ...

pipelines using Azure services (Data Factory, Data Storage), Spark, and Databricks Strong knowledge of data modelling, database design, and enterprise data architecture Experience with ETL/ELT frameworks and data integration patterns using Python or PySpark Experience with structured and semi-structured data, preferably in life sciences (e.g., omics, health ...

capabilities Familiarity with ArchiMate or other enterprise architecture frameworks Experience with message queuing systems (RabbitMQ, Kafka, Azure Service Bus) Understanding of data warehousing and ETL concepts Exposure to cloud platforms (Azure, AWS, GCP) and cloud-native integration services ...

Skills & Experience Required Essential Proven experience as a senior technical architect in complex brownfield environments. Strong data platform architecture experience: ingestion patterns, schema evolution, ETL/ELT, microservices data integration. Multi-cloud integration expertise (Azure + AWS) including secure data transfer patterns. Deep understanding of government, public sector, or regulated ...

experience with Power BI, including dashboard and report development Strong SQL skills Experience with data modelling and DAX within Power BI Experience working with ETL processes or data pipelines Exposure to the Microsoft Power Platform (Power Automate, Power Apps etc.) Ability to work end-to-end across the BI lifecycle ...

mentor junior colleagues to grow our collective capability. Your skills and experience Strong SQL and hands-on experience with data modelling. Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS). Experience with databases/data platforms (ideally Oracle ...

and maintain data processing workloads using Python and PySpark, including notebook-based development where appropriate. Support the migration and modernisation of legacy databases and ETL processes to cloud-based architectures. Strong analytical and problem-solving skills with strong attention to detail Experienced Senior with mentorship and architectural experience The Benefits ...

this can add value Have demonstratable expertise in data handling and how this can add value Understanding the data warehouse lifecycle such as ETL Demonstrate experience in managing and reporting from large and small data sets Have good interpersonal skills and ability to work effectively in a team The ability ...

looking for from you: SQL technologies skills (e.g. MS SQL, Oracle...) noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition ...

consistency systems using Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside ...

Extras: Understands financial processes such as P2P, R2R, and O2C, and how to use relevant data markers from these processes to link datasets, develop ETL pipelines and identify transactions of potential concern Has an understanding of advanced data science techniques such as machine learning, natural language processing and statistical analysis. ...