to: Backend technology, Python. Databases like MSSQL. Front-end technology, Java. Cloud platform, AWS. Programming language, JavaScript (React.js) Big data technologies such as Hadoop, Spark, or Kafka. What We Need from You: Essential Skills: A degree in Computer Science, Engineering, or a related field, or equivalent experience. Proficiency in more »
EC3V 1LT Working Arrangements: Hybrid, 2-3 days p/w in office Salary: £75,000-£85,000 Industry: Insurance Tech Stack: Python, SQL, Spark, Azure 👩🏻💻 Great opportunity for a talented Engineer (Python, SQL, Spark, Azure) to join a market leading cyber insurance company. The Company 🚀 Tech driven … business around the world to provide unique, competitive and secure insurance packages. The Role ✨ They are seeking a highly pragmatic Engineer (Python, SQL, Spark, Azure) to help build out their new data platform. You (Python, SQL, Spark, Azure) will work closely with Architects, Data Scientist and Software Engineers … to build out a greenfield platform that can be used to provide business critical insights. The ideal candidate (Python, SQL, Spark, Azure) will be comfortable working with non technical colleagues to build a platform that benefits the entire business Desired Skills ⚙️ Python (SQL Server, Azure SQL) Databricks Ariflow, Kafka more »
you'll spearhead backend and data engineering and mentor team members. Tech stack: Athena; Python, Flask, Redis, Postgres, React, Plotly, Docker, SQL, Athena & EMR Spark, ECS and Temporal. This is a 60/40 split between tech and leadership. Your background: 8 years+ coding experience, 4+ years Python experience. … being the preference not essential) Start-up experience is preferred but not essential. The extras: Experience working on AI-based products. Distributed computing experience (Spark, MPI, etc) Experience orchestrating workflows, particularly within distributed system environments. Knowledge of MLOps principles and practices, especially in implementing them within production settings. What more »
Essential Skills Proven experience as a Data Engineer Well versed in the following: cloud-based data storage solutions, data lakes, customer data platforms. (Python, Spark, SQL, Cloud Data Environments such as AWS, GCP, Azure) Good understanding of data modelling methods and data partitioning and compaction methods in Data Lake more »
engineers of varying levels of experience. Flexibility and willingness to adapt to new software and techniques. Nice to Have Experience working with projects in ApacheSpark, Databricks of similar. Expert cloud platform knowledge, e.g. Azure What will be your key responsibilities? A technical expert and leader on the more »
London, England, United Kingdom Hybrid / WFH Options
Anson McCade
tools such as Informatica MDM, Informatica AXON, Informatica EDC, and Collibra • MySQL, SQL Server, Oracle, Snowflake, PostgreSQL and NoSQL databases • Programming languages such as Spark or Python • Amazon Web Services, Microsoft Azure or Google Cloud and distributed processing technologies such as Hadoop Benefits : • Base Salary more »
Reigate, England, United Kingdom Hybrid / WFH Options
esure Group
of OO programming, software design, i.e., SOLID principles, and testing practices. Knowledge and working experience of AGILE methodologies. Proficient with SQL. Familiarity with Databricks, Spark, geospatial data/modelling and insurance are a plus. Exposure to MLOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow more »
classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau more »
o Must have 8+ years’ Experience with Relational Databases like Oracle, NoSQL Databases and/or Big Data technologies (e.g. Oracle, SQL Server, Postgres, Spark, Hadoop, other Open Source). o Must have experience in Data Security Solutions (Identity and Access Management and Data Security Access Management) o M more »
level within a typical retail trading environment is key. Experience required: A background in leveraging hands on skills using tools such as Python, R, Spark, Hadoop, SQL and cloud based platforms such as GCP, Azure and AWS to manipulate and analyse various data sets in large volumes Background in more »
dynamic. Knowledge and understanding of OTC products (Interest Rate Swaps, Variance Swaps, CDS, etc.) bookings. Familiarity with C++ and Big Data tools such as Spark, Kafka, Elastic. Join us and be part of a team that values innovation, collaboration, and excellence. Take your career to new heights with a more »
GCP. Essential Skills and Experience: • AWS (e.g., Athena, Redshift, Glue, EMR) • Strong AWS Data Solution Architect Experience on Data Related Projects • Java, Scala, Python, Spark, SQL • Experience of developing enterprise grade ETL/ELT data pipelines. • Deep understanding of data manipulation/wrangling techniques • Demonstrable knowledge of applying Data … Cloud Datastore. • BigQuery and Data Studio/Looker. • Snowflake Data Warehouse/Platform • Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. • Experience of working CI/CD technologies, Git, Jenkins, Spinnaker, GCP Cloud Build, Ansible etc. • Experience and knowledge of application Containerisation, Docker, Kubernetes more »
o Must have 8 years’ Experience with Relational Databases like Oracle NoSQL Databases and or Big Data technologies e g Oracle SQL Server Postgres Spark Hadoop other Open Source o Must have experience in Data Security Solutions Identity and Access Management and Data Security Access Management o Must years more »
an Architect and excellent knowledge of Big Data -Excellence experience across Azure -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very strong knowledge of database technologies such as NoSQL, Relational more »
complex issues they are facing. out data-driven analysis, craft solutions to resolve business problems. Artificial Intelligence and data science approaches (Python, R, Matlab, Spark etc). database technologies such as Hadoop. tools that expand the companies tool kit, advancing their ability to serve clients. Experience needed in a more »
of databases. Snowflake is widely used, as are Docker and Kubernetes for containerisation. ETL and ELT tech are also used every day, primarily Airflow, Spark, Hive and a lot more. You’ll need to come from a strong academic background with some commercial experience in a data heavy software more »
product experimentation, Causal AI, and advanced statistical techniques. Deep knowledge of data science tools (e.g., scikit-learn, TensorFlow, PyTorch) and big data technologies (e.g., Spark). Proficiency in Python for data manipulation, model building, and scripting. Strong communication skills to present findings to both technical and non-technical audiences. more »
or Rust. Experience in building and enhancing compute, storage, and data platforms with exposure to open source products like Kubernetes, Knative, Ceph, Rook, Cassandra, Spark, Nate etc. Hands-on exp. with IaC tools and automation, such as Terraform, Ansible, or Helm. Active engagement or contributions to the open-source more »
Certified Solutions Architect, AWS Certified Data Analytics Specialty, or AWS Certified Big Data Specialty. Experience with other big data and streaming technologies such as ApacheSpark, Apache Flink, or Apache Beam. Knowledge of containerization and orchestration technologies such as Docker and Kubernetes. Experience with data lakes more »
data engineering or a similar role. > Proficiency in programming languages such as Python, Java, or Scala. > Strong experience with data processing frameworks such as ApacheSpark, Apache Flink, or Hadoop. > Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure. > Experience with data warehousing more »
Staines-Upon-Thames, England, United Kingdom Hybrid / WFH Options
IFS
with data ingestion tools such as Airbyte and Fivetran, accommodating a wide array of data sources. Mastery of large-scale data processing techniques using Spark or Dask. Strong programming skills in Python, Scala, C#, or Java, and adeptness with cloud SDKs and APIs. Deep understanding of AI/ML more »
value through improved data handling and analysis. Responsibilities: Build predictive models using machine-learning techniques that generate data-driven insights on modern data platforms (Spark, Hadoop and other map-reduce tools); Develop and productionalize containerized algos for deployment in hybrid cloud environments (GCP, Azure) Connect and blend data from more »
pivotal role in designing, building, and maintaining their data infrastructure while collaborating closely with senior stakeholders across the organisation. Your expertise in Azure, Databricks, Spark, Python, and data modelling will be critical in driving the success of their data initiatives. Key Responsibilities: Lead the complete development cycle of data … comprehensive of data modelling, data warehousing principles, and the innovative Lakehouse architecture. Exceptional proficiency in ETL methodologies, preferably utilising Azure Databricks or equivalent technologies (Spark, Spark SQL, Python, SQL), including deep insight into ETL/ELT design patterns. Proficient in Databricks, SQL, and Python, with a robust understanding more »
Azure Solutions Architect Expert. Experience with other cloud platforms such as AWS or Google Cloud Platform. Knowledge of big data technologies such as Hadoop, Spark, etc. If you are passionate about leveraging Azure technologies to drive data-driven insights and solutions, we encourage you to apply for this exciting more »
