12 of 12 Apache Spark Jobs in the City of London

/ELT) to support analytics and downstream use cases Developing scalable data solutions using Python , with a focus on maintainability and performance Working with Apache Spark/PySpark to process and transform large datasets Supporting the ingestion, transformation and validation of complex financial data Improving the performance, reliability … That Will Help You Succeed Essential Commercial experience as a Data Engineer at a mid‐level Strong Python development skills Hands‐on experience with Apache Spark/PySpark Solid experience building ETL/ELT pipelines Background within the financial services industry (investment management experience desirable) Comfortable working with ...

Responsibilities will include; Design, implement, and optimize end-to-end solutions using Fabric components: o Data Factory (pipelines, orchestration) o Data Engineering (Lakehouse, notebooks, Apache Spark) o Data Warehouse (SQL endpoints, schemas, MPP performance tuning) o Real-Time Analytics (KQL databases, event ingestion) o Manage and enhance OneLake ...

Solid understanding of data warehousing, lakehouse and datalake architectures Familiarity with modern data engineering patterns (ETL/ELT, medallion architecture, observability) Experience working with Apache Spark and large-scale data processing For a full consultation on this exciting new role, please get in touch with ARC IT Recruitment ...

commodities markets or broader financial markets. Knowledge of quantitative modeling, risk management, or algorithmic trading. Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions. Innovative Culture ...

DevOps and broader software engineering standards. Cloud experience (any platform). Previous mentoring experience. Nice to have: Snowflake or Databricks Spark, PySpark, Hadoop or similar big data tooling BI exposure (PowerBI, Tableau, etc.) Interview Process The process is fully structured, transparent, and efficient: Video call - high-level overview ...

+ 10% bonus + benefits Purpose: Build and maintain large, scalable Data Lakes, processes and pipelines Tech: Python, PySpark, AWS, Iceberg/Kafka, Spark/Glue, CI/CD Industry: Financial services/securities trading Immersum continue to support a leading SaaS securities trading platform, who are hiring … Infra tooling using Terraform, Ansible and Jenkins whilst automating everything with Python Tech (experience in any listed is advantageous) Python Cloud: AWS Lake house: Apache Spark or AWS Glue Cloud Native storage: Iceberg, RDS, RedShift, Kafka IaC: Terraform, Ansible CI/CD: Jenkins, Gitlab Other platforms such ...

Desired Skills (Bonus Points) Experience with MLOps tooling (MLflow, Kubeflow, Weights & Biases, or similar) Building data pipelines (real-time or batch) using tools like Apache Spark, Kafka, Airflow, or dbt Familiarity with recommender systems, transformers, or graph neural networks Exposure to model optimisation techniques (quantisation, distillation, efficient inference ...

models, transformers, retrieval models). Hands-on experience with LLMs and GenAI technologies. Strong programming and problem-solving skills with proficiency in Python, SQL, Spark, and Hive. Deep understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design. Solid background in ranking, recommendation ...

stores (Feast, AWS Feature Store). Containerisation (Docker) and orchestration (Kubernetes, ECS). Infrastructure as Code (Terraform, CloudFormation). Large-scale data processing frameworks (Spark, Dask). Familiarity with data governance and compliance frameworks. Experience in regulated industries such as healthcare or finance. Benefits: Competitive salary ...

Position Summary The Senior AI Architect is responsible for designing and implementing advanced AI and cloud architectures, with a strong emphasis on integrating generative AI technologies. This role requires a broad understanding of AI and ...

architecture, and network stack optimization. Data Infrastructure: Familiarity with the modern data stack, including time-series databases, object stores, and streaming frameworks like Apache Flink or Spark Streaming . Engineering Rigor: You write clean, testable, and reliable code. You understand that in this environment, a system failure ...

production systems and deliver measurable business impact. Develop APIs and services that enable ML-driven advertising solutions across Expedia Group’s global platform. Optimize Spark-based applications for large-scale data processing and ensure system reliability and performance. Implement strategies for training models on massive datasets using distributed computing … deploying ML pipelines in production environments. Strong programming skills in Python and at least one other language (e.g., Scala or Java). Expertise in Spark and distributed data processing frameworks. Proficiency with ML libraries such as PyTorch and TensorFlow. Experience with cloud platforms (AWS, EMR, Kubernetes, Docker ...