51 to 75 of 196 ETL Jobs in London

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 »

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 »

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 »

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 »

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 »

design, implement, and utilize various database structures with a focus on cloud-based data services such as Azure, Databricks, and Snowflake ❄️ 🔹 Experience in building ETL/ELT data pipelines and applying DevOps (CI/CD) concepts to test, schedule, and deploy to a production environment 🔄 If you're interested in 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 »

Strong stakeholder management & communication skills Experience of working with structured and unstructured datasets Able to design a range of architectural solutions Data models and ETL Data lake and data warehouse end to end architecture Experience within media, publishing, research, or a similar consumer focused industry is highly desirable, but not more »

development processes. Additional duties as needed. Preferred Skills: Experience with additional frameworks and libraries such as PyTorch or TensorFlow. Knowledge of data engineering and ETL processes. Experience with version control systems, particularly Git. Knowledge of telecommunications technologies and industry standards. Qualifications: Bachelor's or Master's degree in Computer Science more »

proposing solutions for improvements Skills and Experience Excellent knowledge of SQL Knowledge of Python (other languages might be equivalent) Experience in creating and maintaining ETL pipelines Know your way around Unix based operating system Experience working with any major cloud provider (AWS, GCP, Azure) Fluency in English Experience using Apache 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 »

Provide estimates, work independently and meet deadlines Manage the releases and the related builds in each environment Perform development, testing, and support of data ETL/ELT programs (pipelines), using such tools as AWS Glue, Azure Data Factory, Informatica or similar ETL/ELT platforms, as well as knowledge of … learn the associated scheduling logic for data pipelines using scheduling tool such as Autosys or Airflow Read and translate logical data models and use ETL skills to load the physical layer, based on an understanding of timing of data loads, data transformation, and optimization of ETL load performance. Provide production 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 »

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 »

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 »

Snowflake data architecture, design, and deployment. Strong proficiency in SQL and experience with scripting languages such as Python or Java. Experience with data modelling, ETL processes, and data warehousing techniques. Familiarity with cloud computing services, ideally, Azure. Excellent problem-solving skills and the ability to work collaboratively in a team more »

Financial Services domain knowledge Do you tick these 4 boxes? Must haves: Python coding experience (Pure Python) - JSON format Data modelling, data warehousing and ETL frameworks SQL Our client have 2,500 lines of Python code for you to maintain and optimize. You'll need hands-on coding for this more »

environments Excellent knowledge of data technology, data transformation tools, and data governance techniques Good understanding of Quality and Information Security principles Experience with Azure, ETL Tools such as ADF and Databricks Advanced Database and SQL skills, alng with SQL, Python, Pyspark, Spark SQL Strong understanding of data model design and 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 »