51 to 75 of 198 ETL Jobs in London

and manipulation · Analytical capability/Analytical skills: · Issues & risks identification & mitigation · Root cause analysis · Qualitative & quantitative analysis · End to end development of PowerBI Reports (ETL, data modelling, expression writing and report writing) · Experience with data mastery · Good practices in SQL development · Good understanding of relational databases · Advanced Excel (Power Query more »

knowledge in distributed systems, cloud architecture, and data pipelines. Proficiency in Python programming (knowledge of Scala or Rust is a plus). Familiarity with ETL principles in contemporary data applications (Dagster, Airflow, Perfect). Familiarity with AWS services such as Glue, Redshift, Athena, and S3. Proficiency with Terraform, Kubernetes, and more »

analyst, some of the data tasks you will work on are: Participating in data discovery workshops to develop proprietary supply chain-specific datasets Writing ETL code in Python Updating spreadsheets in Excel Connecting different services like ChatGPT and Salesforce on Google Cloud Performing data analyses in SQL (BigQuery) Building dashboards more »

organization. Developing and implementing data models and algorithms to support data science and machine learning initiatives . Technical Requirements Proven track record leading complex ETL and Data Infrastructure projects, as well as designing and building data intensive applications and services. Experience with data processing and distributed computing frameworks such as more »

a strategic vision for data management information reporting within our organisation. Responsibilities Develop, support, and our business reporting platform, including DataBlend for integrations an ETL, along with gathering requirements for business reporting across a range of systems. Create and maintain reports and dashboards in PowerBI to support business decisions and more »

engineers. Proficiency in Azure (including services like Azure Data Factory, Azure Databricks, etc.). Strong programming skills in Python . Familiarity with data modeling, ETL processes, and data warehousing. Excellent communication and leadership abilities. Additional Information: This role offers a £105k + performance-based bonus, and comprehensive benefits package. Candidates more »

key stakeholders and other business units to understand business needs and gather requirements. Required Experience Track record of designing and building data infrastructure and ETL pipelines Experience with Azure Platform including Data Factory, Synapse, and Data Lake DB development experience with SQL Software development experience in relevant languages like Python more »

a 50/50 split between BI reporting/analysis and data ingestion, and would suit someone with a couple years experience across Python , ETL, (AWS, Azure or GCP) and any BI tool (PowerBI, Tableau, Qlik, QuickSight, or GoodData - it's more about the transferable skills!). This is an more »

Python and its data processing, analysis, and visualization libraries Experienced with SQL and Timeseries databases Skilled in AWS services: S3, EC2, RDS Knowledgeable in ETL tools like Airflow Proficient in Git, CI/CD, testing tools, and documentation best practices Adheres to quality engineering practices including TDD and BDD Nice more »

Devise practical solutions to business challenges, drawing from industry experience. Spearhead engineering collaboration with actuarial subject matter experts. Guide team members in developing robust ETL processes. Uphold exemplary coding and technical standards. Showcase technical prowess in Python, SQL, and JSON. Implement and oversee a robust CI/CD process. Enhance more »

a genuine impact on a growing business. Requirements: Strong experience with Python Strong SQL Experience working with REST Microservices Strong experience building and managing ETL Pipelines Exposure to modern cloud technologies - (Azure, GCP, AWS etc) Strong formal education - ideally in Computer Science If this sounds of interest, then please do more »

technical colleagues and providing updates on data activity progress. Proficient in SQL and data modeling. Experience with Python Extensive technical expertise in data warehousing, ETL processes, and BI reporting technologies. Experience in working with and administering modern BI platforms like Looker, Qlik, Domo, or Power BI. Please contact Joely Callaghan more »

a call on 0191 3387551. Keywords: Azure Data Factory, Azure Databricks, Databricks Lakehouse, MS Power BI, Power BI, Spark, Delta Lake, T-SQL, DevOps, ETL, Data Modelling, DAX, Data Warehousing, London more »

frameworks and platforms Agile and Continuous Delivery Continuous integration pipelines Strong Python AWS or Azure with large-scale streaming data (Pulsar, Kafka, Kinesis, etc) ETL management; structured or custom (Airflow, Luigi, etc) Bonus Robust experience managing and developing an engineering team Delta lake or Iceberg Trino or Presto Graphql Good more »

marketing business partners, teammates and leadership; implementing machine learning algorithms, working end-to-end on machine learning pipelines in production; data engineering working on ETL pipelines, crawling APIs and websites, and automating outputs (report generation, workflow automation, Google Sheet interaction); setting and meeting detailed timelines and expectations while executing projects more »

and enhancement of an in-house tool, which is used for monitoring and generating reports on trading activities. You should have strong proficiency in ETL processes and tools, alongside exceptional Python knowledge. In addition, you should have excellent SQL skills for querying and analyzing large datasets, and have experience with more »

engineers. Proficiency in Azure (including services like Azure Data Factory, Azure Databricks, etc.). Strong programming skills in Python . Familiarity with data modeling, ETL processes, and data warehousing. Excellent communication and leadership abilities. Additional Information: This role offers a £100k + performance-based bonus, and comprehensive benefits package. Candidates more »

strategy constraints. Essential Skills: The ideal candidates will have a proven Senior Data & Analytics Development background, with the following skills/experience: Knowledge of ETL/ELT, data warehousing/business intelligence methodologies and best practice including dealing with big data, cloud technology and unstructured data and the relative required more »

their next step in their career and wants to take on more responsibility. Technical Skillset: Experience as a data engineer developing and maintenance of ETL/ELT processes Good experience in Data Modeling within a cloud-based data platform Strong experience with SQL Server Azure data engineering stack, including Azure more »

per week. The salary for the role is £95,000, depending on experience, plus bonuses and benefits. The Job: Develop and support data warehouse, ETL, and reporting solutions. Ensure effective operation, integration, integrity, and maintenance of central data reporting and MI services. Manage third parties for development and support of more »

governance concepts, practices, and frameworks. Strong technical skills in data modelling, metadata management, and data lineage. Datawarehouse design and implementation Experience with SQL Server ETL processes A good knowledge of Power BI reporting Desirable Skills Nexthink Software SNOW Software JAMF Software Accreditations Microsoft Data Analyst Microsoft Data Engineer more »

function, delivering end to end solutions for an array of customer data projects. The role: Designing data pipelines, managing data warehouses, and implementing complex ETL processes. Work closely with data scientists, analysts, and stakeholders to optimise our client’s infrastructure. Optimise data driven products, personalisation, reporting and overall business success. more »

and ability to promote solutions to production via machine learning engineering Hands-on knowledge of NoSQL and relational Databases, alongside relevant data modelling techniques ETL/ELT tooling Knowledge of DBT, Luigi or similar orchestration tooling of managing and developing a team in an agile environment Preferred Software development of more »

and Sell additional annual leave Funded Learning and development programmes The Successful Data Engineer will have: Experience in developing and designing data pipelines and ETL processes Previous experience of data warehousing Utilise SAS for data reporting and analysis Skilled in SQL, Python, Git and Databricks In depth experience of reporting more »

Data Experience: Competence in handling financial data, coupled with a solid understanding of accounting principles. Technical Skills: In-depth knowledge of dimensional modeling and ETL processes. Agile Framework: Experience working within an Agile Scrum environment. Advanced Excel Proficiency: High-level skills in Excel for managing data exports. Desirable Qualifications: MS more »