{"id":2852943,"url":"https://alion.io/job/mashreq-senior-manager-data-engineer-mgn-pak-digital-data-platforms-mit-pakcoe","title":"Senior Manager - Data Engineer.MGN Pak - Digital Data Platforms.MIT - PAKCOE","company":{"id":2167375,"name":"Mashreq","domain":"mashreq.com","url":"https://alion.io/company/mashreq-com","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":85,"open_postings":17,"ghost_share":0,"stale_share":0.588,"repost_share":0,"time_to_fill_p50_days":38,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pakistan"],"countries":["PK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16000,"max_usd":42000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"C#","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"MS SQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Unix","optional":false}],"status":"live","first_seen_at":"2026-02-12T12:16:50Z","employer_posted_date":"2026-02-12","last_verified_at":"2026-11-11T01:24:10Z","board_verified":true,"closed_at":null,"days_open":271,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":270},"description":"Data & Analytics Driven Organization: One Data Analytics & AI Business Unit drive the vision to transform the Bank into a Data Driven Organization (DDO) using latest tools and technologies in Data space. Wholesale & Ops Data team is a stream within One Data Organization driving this agenda for Wholesale & Ops Banking function.\nData Engineer will design and maintain data pipelines of real-time and batch, creates data strategy, data architecture, best practices and who can lead the organization in making strategical improvements in the data engineering solutions.\nThis role requires to have a knowledge of core system, payment systems, digital journeys, marketing systems, risk and compliance systems which are very data intensive systems across UAE, Egypt, Pakistan and other IBG regions etc.\nOur core function spans multiple platforms like Enterprise Data Lake, Azure Data Lake, Business Intelligence, Advanced Analytics and Realtime Streaming platforms. \nThe work involves developing new requirements in both on-premises and cloud data lake’s estimating the efforts, designing an effective solution, data architecture and management, change release management, resource management, handling the deliverables across the business groups in the Bank. Also, handling critical applications that influence bank’s management decision making process, regulatory reporting (which can influence financial/non-financial penalties) and operational reporting.\n\nData Architecture Design: As a Senior Data Engineer, one of the primary responsibilities is to design and maintain the data architecture. This involves creating scalable, efficient, and robust data pipelines, data models, and data integration strategies.\n Business focus deliverables: \nManaged to build scalable & robust data visualization platform supported as per organization strategical tools & technology.\nDevelops and maintains scalable Business Intelligence Solutions for Wholesales & Operations, Risk, Compliance & Client Experience (CX) Digitalization\nUnderstand clients’ problems and decide how to cater to their needs, business problems.\nProficient in requirement gathering, finalizing scope, consensus building across diverse stakeholders, formulating BRD’s, concluding UAT, demos and trainings, tracking Agile Scrum & rituals.\n Team Leadership and Management: Leading a team of data engineers is a crucial aspect of this role. KRAs include managing team members (both FTE’s and EC’s), assigning tasks, mentoring junior engineers, and fostering a collaborative and productive work environment.\nData Pipeline Development: Developing and optimizing data pipelines is essential to ensure smooth data flow from various sources to the data warehouse or data lake. This KRA involves implementing ETL/ELT processes, data ingestion, and transformation workflows.\nData Quality and Governance: Ensuring the quality, integrity, lineage, and security of data is another vital aspect of a Lead Data Engineer's role. This involves implementing data governance policies, data monitoring mechanisms, and error handling procedures.\nPerformance Optimization: Responsible for optimizing data processing and query performance. This may involve tuning database queries, optimizing data storage, and leveraging distributed computing technologies.\nTechnology Selection and Integration: Keeping up with the latest trends and advancements in data engineering technologies is crucial. Evaluating and integrating new tools and frameworks to enhance the data engineering processes can be a significant KRA.\nMonitoring and Troubleshooting: Monitoring new and existing data pipelines to identify and resolve issues is an essential responsibility. This KRA involves setting up monitoring systems and establishing procedures for quick troubleshooting and problem resolution.\nScalability and Resilience: Ensuring that the data engineering infrastructure can scale with increasing data volume and handle failures gracefully is critical. This KRA involves designing for high availability and fault tolerance.\n Core Skills:\n12 - 15 Years of Total Experience in Software Development.\n10+ years of experience Big Data, Hadoop, Data Lake, Data Mesh Architectures, Azure Cloud, Microsoft SQL Server, Unix, and platform migrations, Apache Spark, Pyspark, Hive, Azure data bricks, ADF.\nShould have managed successful execution of minimum 1large engagement into production go live.\nShould have good knowledge of Platform management of Cloud, DWH, Azure and Data Lake.\nGood in Data Management Fundamentals and Data Architect, Modelling, Governance and Data security.\nStrong in writing & tuning the Data Ingestion jobs, Spark applications, python, Hive, Azure Databricks, Azure Data Factory and Azure SQL.\nProficient in SQL, python, C#, Java, or another JVM-based language.\nProficient in Spark, Hive, Sqoop, ADLS, ADB, ADF and Kafka.\nPublic/Private cloud experience in AWS and/or Azure.\nGood knowledge of RDBMS and NoSQL database design and best practices.\nExperience in DWH to Data Lake offloading.\nProficient in Data Modeling and Data Governance concepts.\nGood Domain Knowledge in Banking/Finance area. \nManagement Skills:\nExperience in team management, vendor management and project management\nHandling of Client/Business Escalations\nMotivated and self-driven to overcome obstacles, complete projects and reach targets.\nResponsible for overseeing the work of team and motivating team towards a common goal.\nExperience in conducting activities like budgeting and resource planning.\nAdditional Skills Desired:\nGood Communication Skills\nStrong Analytical Thinking\nAbility to handle stakeholders.\nConfident in decision making and the ability to explain processes or choices as needed.\nAbility to multitask on multiple projects in various phases.\nProject Methodology Knowledge\nProgram Management & Deliverable\nComputer Science degree or 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