1 to 25 of 46 Remote/Hybrid ETL Jobs in the North of England

application to our client in conjunction with this vacancy only. KEY SKILLS Data Engineering, Databricks, Apache Spark, PySpark, SQL, Python, Kafka, AWS, Delta Lake, ETL, Data Pipelines, CI/CD, Big Data ...

practices Proficiency with cloud platforms (AWS, Azure, GCP) and data technologies such as Snowflake, Databricks, or equivalent Experience with programming/scripting, data integration, ETL pipelines, and orchestration Knowledge of ML/AI frameworks, BI/analytics platforms, and semantic data modelling Strong client-facing skills with the ability ...

Engineering, Mathematics, or related discipline or equivalent experience. * Professional certifications (e.g., Snowflake SnowPro, Microsoft Power BI Data Analyst) beneficial. Key Responsibilities: Data Management & Processing: * Extract, transform, and load (ETL) data from multiple sources, primarily using Snowflake, SQL, and associated pipelines. * Ensure high data quality, integrity, consistency, and availability. * Develop repeatable … Snowflake preferred). * Proficiency building Power BI dashboards, DAX formulas, and data models. * Experience working with cloud-based data warehousing platforms. * Understanding of ETL/ELT concepts, data modelling, and data architecture. * Proficient in Excel and general data manipulation tools. Analytical Skills: * Ability to interpret large datasets into actionable insights. ...

experience with SQL Server, stored procedures, and complex query development. Solid understanding of data warehouse concepts, including Star Schema/Kimball methodologies. Experience with ETL processes, data migration, and data integration across multiple systems. Familiarity with Tableau, Power BI, or other BI/reporting tools. Exposure ...

helping to design, build, and maintain scalable data pipelines and cloud-based data solutions. Key Responsibilities • Design, build, and maintain scalable data pipelines and ETL processes. • Develop and optimise data models for analytics and reporting. • Work closely with software engineers, analysts, and stakeholders. • Ensure data quality, reliability, and performance. • Implement ...

while promoting best practices and operational excellence. Key Responsibilities Lead the design, development, and optimisation of enterprise data engineering platforms Build and maintain robust ETL/ELT pipelines integrating large, complex datasets Work with structured, semi-structured, and unstructured data across SQL and NoSQL technologies Develop solutions using Hadoop, Spark ...

Lakehouse, Dataflows Gen2, Pipelines, semantic models, governance). Strong Azure engineering and integration capability across data services and cloud architecture. Expertise in data warehousing, ETL/ELT, data lakes, modelling and modern BI practices. Strong Power BI knowledge - modelling, governance, performance and best practice. Understanding of digital integration, automation tooling ...

shaping best practices and supporting the wider team. Specifically, you can expect to be involved in the following: Designing and building scalable ELT and ETL pipelines across a cloud environment. Developing curated data models to support analytics, reporting and operational use cases. Improving performance, cost efficiency and reliability ...

shaping best practices and supporting the wider team. Specifically, you can expect to be involved in the following: Designing and building scalable ELT and ETL pipelines across a cloud environment. Developing curated data models to support analytics, reporting and operational use cases. Improving performance, cost efficiency and reliability ...

Line management and team leadership Real-time and event-driven data platforms Cloud data engineering on AWS Strong SQL and T-SQL SQL Server ETL/ELT pipelines, SSIS, Matillion or similar Data visualisation, Tableau or similar Infrastructure as Code awareness, Terraform or similar Stakeholder managemenT Useful but not essential ...

excited by solving complex data challenges in a high-performance environment, we’d love to hear from you. Data Engineering, Data Pipelines, ETL, Python, SQL, Spark, Databricks, Airflow, AWS, Azure, GCP, Cloud Technologies, Data Processing, Data Transformation, Data Quality, Scalable Systems, Data Applications, Data-Intensive Systems, Data Engineer, Engineering Consultant ...

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 ...

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 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 ...

development projects. Advanced TypeScript skills and strong containerization experience (AKS). Hands-on expertise across Azure compute, storage, networking, and security. Exposure to Databricks, ETL, and analytics workflows. Strong leadership abilities: mentoring, code review, and collaborative solution-design. Excellent problem-solving skills and the ability to communicate technical concepts ...

successful SAP BI Developer will be able to demonstrate: Proven expertise in SAP BI tools and technologies. Strong understanding of data modelling and ETL processes. Experience in creating dashboards and reports for business applications. Excellent problem-solving and analytical skills. A collaborative approach to working with cross-functional teams. Strong ...

data science (pandas, numpy, scipy) and machine learning (sklearn, XGBoost, CatBoost, PyTorch). Data Engineering: Strong experience in SQL and data engineering principles (ETL/ELT), with the ability to handle large, complex datasets independently. Collaboration: Proficient in Git and comfortable working with Excel for stakeholder data exchange. Cloud & MLOps ...

compliance domains - you should understand concepts like transaction monitoring scenarios, customer screening, risk scoring. Technical background covering Java development, data engineering/ETL, databases, real time event processing. You should be able to lead technical discussions and make architectural decisions. People leadership experience managing technical teams through delivery. Track record ...

optimisation, indexing strategies, tuning techniques) Strong understanding of data warehouse principles and dimensional modelling Experience working with MDM data structures and concepts Knowledge of ETL tools (Alteryx preferred) for data preparation, integration and automation Experience with reporting tools such as Tableau Ability to design efficient data models to support analytical ...

create data products that solve business problems at scale. Key Responsibilities Work with stakeholders to understand requirements and translate them into scalable data products. Extract, transform, and model data using SQL and Python. Develop Power BI dashboards and reports that provide actionable insights. Build self-service analytics solutions that enable … stakeholders to access data independently. Collaborate with Data Engineering teams to ensure data quality. Drive best practices in data modeling, ETL processes, and dashboard design. Document solutions clearly and support stakeholders with training. Essential Skills 2-3 years experience in data analysis, business intelligence, or analytics engineering. Strong SQL skills ...

operation, and evolution of our SQL Server data warehouse. Establish best practice standards for schema design and performance tuning in SQL Server/SSMS. ETL/ELT & integration: Define and manage pipelines (e.g., SSIS & Power Query) that consolidate sources including core broking systems (e.g., Acturis) and newly acquired businesses; deliver … query writing. Significant experience delivering Power BI models and dashboards (DAX, Power Query, RLS, performance). Advanced Excel: advanced formulas, Pivot tables, Power Pivot. ETL/ELT tooling (SSIS/Power Query) and dimensional modelling (Star Schema). Practical AI/ML exposure (e.g., Python notebooks, Azure ML, or equivalent ...

Data Engineer - Manchester (Hybrid) Skills - Data Engineer, SQL, ETL, Python, AWS If you enjoy solving messy data problems and turning them into clean, reliable pipelines, this could be worth a look. We're working with a growing tech business in Manchester that builds large scale data platforms used by major ...

ensure data is accurate, reliable, and ready for analytics. Key Responsibilities Develop and maintain SQL code (views, stored procedures, functions) in SQL Server Support ETL/data pipelines (e.g. SSIS or similar tools) Assist with data modelling for reporting and analytics Troubleshoot data quality issues and optimise queries Provide … and datasets for reporting teams Document solutions and manage version control using Git Requirements 14years experience with SQL Server and T-SQL Exposure to ETL tools (SSIS, Azure Data Factory or similar) Understanding of relational database design Experience using Git in a team environment Strong attention to detail and problem ...