23 of 23 Permanent ETL Jobs in Slough

architectures that drive measurable transformation aligned to banking sector priorities. Client Advisory & Engagement – Act as a trusted advisor, leading workshops and influencing senior stakeholders on strategy, roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using More ❯

initiatives Ensure high standards of documentation and data security compliance Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience More ❯

architectures including hub and spoke, data lakes, data fabrics, lakehouses. At different levels, enterprise wide and application. • Strong experience of Data reporting solutions from data warehousing (Kimble and Inmon), ETL, reporting tools, and document stores. • Exceptional communication skills to explain concepts and solution designs to any stakeholders across the enterprise. • Clear formal communication skills to document ideas and solutions. • Collaborative More ❯

a strong understanding of modeling best practices and deployment strategies. Solid knowledge of infrastructure as code using AWS CloudFormation and Terraform to automate and manage cloud resources. Experience developing ETL workflows using AWS Glue, querying data with Athena, and managing access and governance with Lake Formation. Strong command of AWS Lambda for serverless data processing and Boto3 for programmatic interaction More ❯

Smartsheet, Hubspot, and others. Develop and implement management dashboards for global leaders, agency heads, and account managers to enable proactive decision-making and performance tracking. Establish data pipelines and ETL processes to ensure timely, accurate and secure data flow across platforms. Strategic Leadership Define and execute a scalable data strategy aligned with business goals and value creation plans. Build and More ❯

solution design on GCP, BigQuery, Databricks, Snowflake Drive cloud migration & modernisation strategies (Terraform, CI/CD, Azure DevOps, GitHub) Define enterprise data models (ERwin, ER/Studio, PowerDesigner) Architect ETL/ELT frameworks & pipelines (Dataflow, Dataproc, Informatica, etc.) Implement governance & quality frameworks (Unity Catalog, Profisee, Alation, DQ Pro) Engage clients at C-suite level to shape roadmaps & business cases Mentor More ❯

release management processes Mentor and support junior and mid-level engineers, fostering a culture of learning and excellence Ideal Candidate Profile Proven experience in data engineering, including ELT/ETL, data integration, and data warehousing Hands-on expertise with Snowflake, Azure Synapse/Data Factory, DBT Cloud, and Azure DevOps Familiarity with cloud platforms, streaming technologies, and dimensional data modelling More ❯

in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices. Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering More ❯

encouraging accountability, learning, and growth. Experience required Track record coaching and mentoring engineers in a Senior BI Developer role or Leadership role Strong knowledge of SQL Server, SSIS, SSAS, ETL pipelines Experience would be highly useful with PowerBI, Azure services (Data Factory, Synapse, Data Lake), CI/CD, and DevOps Strong communication skills with the ability to bridge technical and More ❯

to write complex SQL queries Should have strong implementation experience in all the below technology areas (breadth) and deep technical expertise in some of the below technologies Data integration – ETL tools like IBM DataStage, Talend and Informatica. Ingestion mechanism like Flume & Kafka. Data modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Data visualization – Tools like Tableau More ❯

best practices. Familiarity with GCP data services (e.g., BigQuery, Dataflow, Cloud Composer, Cloud Storage, Pub/Sub) and their role in modern data platforms. Understanding of data architecture patterns (ETL/ELT, data lakehouse, star/snowflake schemas) and integration approaches in cloud environments. Awareness of data governance, security, and compliance frameworks (e.g., GDPR, HIPAA, RBAC) in cloud delivery settings. More ❯

on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines, and ETL processes Familiarity with cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML workflows (MLOps) Strong programming skills in Python More ❯

robust reporting solutions using PowerBI, tailored to financial and operational requirements. Collaborate with finance and operations teams to define KPIs and reporting requirements. Build and maintain data pipelines and ETL processes to ensure timely and accurate data availability. Develop and maintain financial dashboards for executive and departmental use. Ensure data governance and accuracy across reporting systems. Experience & Technical Requirements: Experienced More ❯

promises exciting, engaging and rewarding projects for those that are keen to develop and build a successful career. Core Responsibilities Establishing new data integrations within the data foundation Conduct ETL activities as conducted by SMEs Configuring connections to other datasets within the data foundation Collaborate with SMEs to create, test and validate data models and outputs Set up monitoring and More ❯

management and communication skills. Optional/Nice-to-Have: Hybrid BA/Architect experience – capturing requirements and producing technical designs. Knowledge of Power Platform, Dynamics 365, or API/ETL integration . More ❯

understanding of modern data architecture, including robust SQL skills and database performance tuning. Experienced in orchestrating complex data workflows to manage scheduling, dependencies, and data quality in ELT/ETL pipelines. Familiarity with modern data warehouses and experience with orchestration tools. Company Overview: You’ll become part of a wider data and analytics team that’s working on some genuinely More ❯

and support. Skills & Experience: Proven OneStream administration and configuration experience. Strong knowledge of CPM/EPM concepts, financial consolidation, and planning. SQL/database skills (SQL Server preferred) and ETL/data integration experience. Familiarity with cloud environments (Azure, AWS) and multi-entity operations. Understanding of GAAP/IFRS and financial reporting processes. What’s on offer: Competitive salary and More ❯

scalable, resilient infrastructure Cloud (AWS preferred) – deploying and managing services in secure environments Security Engineering & Access Control – designing secure architectures and managing sensitive access Data Engineering – working with pipelines, ETL, data modelling and integration Why Join? Be part of a mission led team driving innovation in defence, public safety, and national security Work with the latest technologies including Palantir Foundry More ❯

This is a hands-on, delivery-focused role where you’ll be diagnosing ingestion bottlenecks and designing scalable, secure solutions. 🛠️ What You’ll Need Proven experience in data ingestion , ETL pipelines , and data platform architecture Familiarity with DDAP or similar secure data platforms Strong understanding of government data environments and MOD protocols Ability to lead workshops and collaborate with stakeholders More ❯

team with room to grow (US, India & UK) • Structured onboarding and support, not a “sink-or-swim” mentality 🧩 What You’ll Be Doing • Design and own robust, high-performance ETL pipelines using SQL, Python, Databricks, and DBT • Ingest complex data sets from Europe’s specialty and warranty businesses • Integrate Snowflake warehouse and automate financial/operational reports • Support data product … day remote (hybrid structure) ✅ What You Bring Must-Haves: • 6+ years in data engineering • Strong skills in Python, Databricks, and SQL • Solid understanding of data transformation best practices (ETL/ELT) Nice-to-Haves: • Experience with DBT • Background in insurance, financial services, or reporting-heavy environments Location: Central London- Full time onsite 💰 Compensation & Benefits • Base Salary: Approximately £100,000 depending More ❯

it’s increasing customer retention, boosting engagement, or improving product features, your work will drive tangible results. Why This Role is Great Use SQL and data warehousing skills to extract, model, and structure data that powers smarter decisions Deliver insights that lead to measurable business outcomes such as uplift in revenue, retention, or efficiency Collaborate with product and commercial teams … with experience querying large datasets and working with data warehouses Background in data analysis, BI, or product analytics with evidence of driving business outcomes Familiarity with data modelling and ETL processes Ability to communicate insights in a way that drives decisions and measurable impact Experience with BI tools such as Power BI or Tableau Confidence in managing multiple stakeholders and More ❯

inclusive world. YOUR ROLE We are seeking experienced Data Designers to lead the design and delivery of modern data solutions . The role requires deep expertise in data modeling, ETL design, and product-oriented data architecture within the insurance domain. YOUR PROFILE Architect scalable, secure, and high-performance data solutions using Azure and Databricks. Design medallion-style data architectures (Bronze … Silver, Gold) for structured and unstructured data. Develop robust ETL/ELT pipelines using Azure Data Factory, Databricks, and event-driven frameworks. Model insurance data across domains (policy, claims, quotes, pricing) using 3NF and dimensional schemas. Collaborate with business stakeholders to define and deliver data products aligned with operational and analytical needs. Lead and mentor offshore data teams, ensuring alignment More ❯

most well-funded and exciting InsurTech scale-ups in the UK. ROLE AND RESPONSIBILITIES Build and design robust data models, working end-to-end across modelling in DBT and ETL processes Develop and maintain scalable data pipelines using SQL and Snowflake Work closely with analysts, data scientists and product teams to ensure data is reliable and well-structured Own the … EXPERIENCE Required: 3+ years in an Analytics Engineering role Solid experience with DBT or similar modern modelling tools Advanced SQL skills and hands-on Snowflake experience Strong understanding of ETL concepts and building scalable pipelines Good communication skills — able to collaborate across functions and explain technical concepts clearly Insurance or motor industry experience is a plus, but not essential Interview More ❯